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New England Lab Current Members' Bios

Open since July 2008, Microsoft Research New England would like to introduce and welcome our full-time researchers, post-docs, visiting researchers, weekly visitors, and interns. Since July 2011, our lab also has a group of remote researchers in Herzelia, Israel.

Full-time Researchers

   
 

Nancy Baym, Principal Researcher

Nancy Baym earned her Ph.D. at the University of Illinois at Urbana-Champaign in 1994, writing the first Ph.D. dissertation on online community (later published as Tune In, Log On: Soaps, Fandom and Online Community; Sage, 2000). Her work examines how people and audiences understand and use communication technologies in their relationships. She is the author of Personal Connections in the Digital Age (Polity Press, 2010), Internet Inquiry: Conversations about Methods (co-edited with Annette Markham, Sage 2009), as well as dozens of articles and book chapters. She was a co-founder of the Association of Internet Researchers and serves on the editorial boards of several new media and Communication journals. Before coming to Microsoft, she was a Professor of Communication Studies. She is now a Visiting Professor in Comparative Media Studies/Writing at MIT.  Read more... 

   
Christian Borgs, Deputy Managing Director
Christian Borgs is a principal researcher and deputy managing director of Microsoft Research in Cambridge, Massachusetts. After a PhD and Habilitation in Mathematical Physicist, he became the Chair of Statistical Physics at the University of Leipzig, and in 1997 joined Microsoft to co-found and manage the Theory Group at Microsoft Research in Redmond. Christian’s current research concentrates on the science of networks, from mathematical foundations like the theory of graph limits, via processes, graph algorithms, and economics on networks, to applications in systems biology, including the analysis of pathways in cancer and other diseases. He is also well known for his earlier work on the mathematical theory of first-order phase transitions and finite-size effects, as well as his work in phase transitions in combinatorial optimization, and more generally, the use of methods from statistical physics and probability theory in problems of interest to computer science. He is a fellow of the American Mathematical Society, and the Association of the Advancement of Science. Read more... 
   
Jennifer Chayes, Managing Director
Jennifer Tour Chayes is distinguished scientist and managing director of Microsoft Research New York City, as well as the Microsoft Research New England lab in Cambridge. Before this, she was research area manager for Mathematics, Theoretical Computer Science and Cryptography at Microsoft Research Redmond. Chayes joined Microsoft Research in 1997, when she co-founded the Theory Group, and for ten years before this, she was Professor of Mathematics at UCLA. Chayes’ research areas include phase transitions in discrete mathematics and computer science, structural and dynamical properties of self-engineered networks, and algorithmic game theory. She is the co-author of over 125 scientific papers and the co-inventor of more than 30 patents. Chayes is the recipient of many awards and honors: she is a Fellow of the Association of Computing Machinery, the American Mathematical Society, the Fields Institute, the American Association for the Advancement of Science, as well as a National Associate of the National Academies, an elected Member of the American Academy of Arts and Sciences, and the recipient of the Women of Vision Leadership Award of the Anita Borg Institute. Read more...
 

 

Henry Cohn, Principal Researcher
Henry Cohn’s mathematical interests include symmetry and exceptional structures; more generally, he enjoys any area in which concrete problems are connected in surprising ways with abstract mathematics. He came to Microsoft Research as a post-doc in 2000 and joined the theory group in 2001. In 2007 he became head of the cryptography group, and in 2008 he moved to Cambridge with Jennifer Chayes and Christian Borgs to help set up Microsoft Research New England. He stays up late at night worrying about why the 16th dimension isn’t like the 8th or 24th. Read more...
   
  Nicolo Fusi, Researcher
Nicolo Fusi is a researcher working at the intersection of machine learning, computational biology and medicine. His focus is on the development of new statistical and computational methods to better understand the genetic and environmental causes of complex diseases. In machine learning, his main interest is in the development of scalable inference methods for Bayesian nonparametric models. Recently, he has also been working on sensing using wearable devices and the computational aspects of gene therapy. Nicolo received his PhD in Computer Science from the University of Sheffield working with Neil Lawrence. He received his B.Sc. and M.Sc. in theoretical computer science from the University of Milan. 
   
 

Tarleton Gillespie, Principal Researcher

Tarleton Gillespie is joining MSR from Cornell University, where he was an associate professor in the Department of Communication and the Department of Information Science. His research examines the sociological implications of online media platforms and their algorithms, particularly for how they shape the contours of public expression and knowledge. He is the co-editor of Media Technologies: Essays on Communication, Materiality, and Society (2014) and the author of Wired Shut: Copyright and the Shape of Digital Culture (2007).  

   
 

Mary L. Gray, Senior Researcher

Mary L. Gray is a Senior Researcher at Microsoft Research, New England. She studied Anthropology before receiving her Ph.D. in Communication from the University of California, San Diego in 2004. Her research looks at how media access and everyday uses of technologies transform people's lives. Her last book, Out in the Country: Youth, Media, and Queer Visibility in Rural America (New York University Press, 2009), which won awards from scholarly societies in anthropology, media studies, and sociology, looked at how young people in the rural United States use media to negotiate their sexual and gender identities, local belonging, and connections to broader, imagined communities. Mary's current book project, co-authored with Computer Scientist Siddharth Suri, examines digital workforces and the future of employment through case studies of present day crowdwork on four different crowdsourcing platforms, comparing workers' experiences in the United States and India. More information about the project can be found at: http://research.microsoft.com/en-us/projects/crowdwork/. Mary served on the Executive Board of the American Anthropological Association from 2008 through 2010 and is the Executive Program Chair for the Association's 113th Annual Meeting. She maintains an appointment as an Associate Professor in the Media School, with adjunct appointments in American Studies, Anthropology, and Gender Studies, at Indiana University. Read more...

   
 

Luong Hoang, Research Software Design Engineer (RSDE) II

Luong (Louie) Hoang works on building scalable Machine Learning systems. Recently, he has worked on areas such as Computer Vision, Deep Learning, NLP & Reinforcement Learning etc... He received a B.S. in Mathematics, Computer Science and Quantitative Economics from Drake University where he was named the Outstanding Student in Mathematics and recipient of the MICS Best Undergraduate Research Paper award. After graduation he joined Microsoft on the Dynamics AX team, helping to build the product’s kernel workspace and programmatic API set. He is currently also a graduate student at Harvard studying Computer Science with a focus on Machine Learning. Read more…

   
 

Nicole Immorlica, Senior Researcher

Nicole's research lies broadly within the field of algorithmic game theory. Using tools and modeling concepts from both theoretical computer science and economics, Nicole hopes to explain, predict, and shape behavioral patterns in various online and offline systems, markets, and games. Her areas of specialty include social networks and mechanism design. Nicole received her Ph.D. from MIT in Cambridge, MA in 2005 and then completed three years of postdocs at both Microsoft Research in Redmond, WA and CWI in Amsterdam, Netherlands before accepting a job as an assistant professor at Northwestern University in Chicago, IL in 2008. She joined the Microsoft Research New England Lab in 2012. Read more...

   
Adam Tauman Kalai

Adam Tauman Kalai, Principal Researcher

Adam was previously an assistant professor of computer science at Georgia Tech and TTI-Chicago. He received a PhD at CMU from the ingenious Avrim Blum, followed by an NSF post-doc at MIT under the wise guidance of Santosh Vempala. His main research interests are machine learning and crowdsourcing. Read more... 

   
Yael Tauman Kalai Yael Tauman Kalai, Senior Researcher
Most recently an Assistant Professor of Computer Science at Georgia Tech. Before this, Yael was a post-doc at the Weizmann Institute in Israel and Microsoft Research in Redmond. She graduated from MIT, working in cryptography under the superb supervision of Shafi Goldwasser. Read more... 
   
  Bobby Kleinberg, Principal Researcher
Robert Kleinberg joins MSR from Cornell University, where he is currently on leave as an Associate Professor of Computer Science. His research studies the design and analysis of algorithms, and their relations to economics, learning theory, and networks. Prior to receiving his doctorate from MIT in 2005, Kleinberg spent three years at Akamai Technologies, where he assisted in designing the world's largest Internet Content Delivery Network. He is the recipient of a Microsoft Research New Faculty Fellowship, an Alfred P. Sloan Foundation Fellowship, and an NSF CAREER Award. Read more...
   
Butler Lampson Butler Lampson, Technical Fellow
Butler is a Technical Fellow at Microsoft and an Adjunct Professor at MIT. He has worked on computer architecture, local area networks, raster printers, page description languages, operating systems, remote procedure call, programming languages and their semantics, programming in the large, fault-tolerant computing, transaction processing, computer security, WYSIWYG editors, and tablet computers. He was one of the designers of the SDS 940 time-sharing system, the Alto personal distributed computing system, the Xerox 9700 laser printer, two-phase commit protocols, the Autonet LAN, the SPKI system for network security, the Microsoft Tablet PC software, the Microsoft Palladium high-assurance stack, and several programming languages. He received the ACM Software Systems Award in 1984 for his work on the Alto, the IEEE Computer Pioneer award in 1996 and von Neumann Medal in 2001, the Turing Award in 1992, and the NAE’s Draper Prize in 2004. Read more...
   
  Greg Lewis, Senior Researcher
Greg Lewis is an economist, whose main research interests lie in industrial organization, market design and applied econometrics. He received his bachelor’s degree in economics and statistics from the University of the Witwatersrand in South Africa, and his MA and PhD both from the University of Michigan. He then served on the economics faculty at Harvard, as assistant and then associate professor. Recently, his time has been spent analyzing strategic learning by firms in the British electricity market, suggesting randomized mechanisms for price discrimination in online display advertising, developing econometric models of auction markets, and evaluating the design of procurement auctions. Read more...
   
  Jennifer Listgarten, Senior Researcher
Jennifer Listgarten took a long and winding road to find her current area of interest in computational biology. She started off with a Physics degree, followed by a Master’s in Computer Vision before completing a Ph.D. in Machine Learning at the University of Toronto with advisors Sam Roweis and Radford Neal. Within computational biology, Jennifer is interested in methods development, especially using insights from machine learning along with more standard applied statistics. She also has an interest in application of these methods to discover new biological/medical insights. Jennifer has worked in a broad set of domain areas including gene expression studies, LC-MS proteomics, immunoinformatics, statistical genetics, and epigenetics. She is currently also starting to explore topics related to cancer and wearables. Read more...
   
 

Brendan Lucier, Researcher

Brendan's research interests lie in the intersection of theoretical computer science, game theory, and microeconomics, with a focus on the theory of auctions and pricing games. He is particularly interested in applying approximation methods to the design and analysis of complex marketplaces. He is also interested in the theory of social networks, especially from the perspective of randomized algorithms and stochastic processes. Brendan received his PhD in computer science from the University of Toronto and a M.Math from the University of Waterloo, then spent two years as a post-doc at the Microsoft Research New England lab. Read more... 

   
 

Markus Mobius, Principal Researcher

Markus was formerly an Associate Professor of economics at Harvard University. He received his PhD from MIT in 2000 and previously earned an M.Phil in economics and a B.A. in mathematics from Oxford University. His main research agenda deals with the economics of social networks. On the theory side, Markus builds models of learning, coordination and cooperation within social networks. He is particularly interested in how social networks can generate trust. On the empirical side, he uses a combination of lab and field experiments with real social networks to estimate these models. In a second line of research, Markus has explored how people manage their self-confidence when ego is at stake. Recently, he has used browsing data to analyze the economics of online news consumption. Read more... 

   
  Glen Weyl, Senior Researcher
Glen Weyl received his Ph. D. in Economics from Princeton University in 2008. He was then a Junior Fellow at the Harvard Society of Fellows and since 2011 has been an Assistant Professor of Economics at the University of Chicago, where he joined the Law School as an Associate Member in 2013; he is currently on leave here at Microsoft. His work is on pure and applied price theory, with a focus on industrial and public economics, and the intersection between economics and related fields like law. He received the Sloan Research Fellowship in 2014 and invented Quadratic Voting, an economically efficient method for making collective decisions.  Read more...
   

Post-Docs

   
 

Jeremiah Blocki, Post-Doc

Jeremiah Blocki completed his PhD at Carnegie Mellon University in 2014 under the supervision of Manuel Blum and Anupam Datta. His thesis on Usable Human Authentication explored the following question: Can we develop password management schemes --- systematic user strategies for creating and remembering multiple passwords --- that provably balance security and usability? His general research interests include: cryptography, usable authentication, passwords, differential privacy, game theory and learning theory. One of his more ambitious research goals is to develop cryptographic protocols that are so simple that a human could execute them without receiving assistance from a trusted computer. In the Fall of 2016, he will join the Computer Science Department at Purdue University as an Assistant Professor.  Read more...

   
 

Sarah Brayne, Post-Doc

Sarah Brayne received her Ph.D. in Sociology and Social Policy from Princeton University in 2015. Her research examines the use of data analytics in surveillance practices. Her dissertation research focused on the use of new types of surveillance technologies, predictive analytics and risk models within the Los Angeles Police Department. In a separate but related research project, she used survey data to analyze the relationship between individuals' involvement in the criminal justice system and participation in medical, financial, labor market and educational institutions. In the fall of 2016, she will join the Sociology Department at the University of Texas at Austin as an Assistant Professor. Read more...

   
 

Kai-Wei Chang, Post-Doc

Kai-Wei Chang received his Ph.D. in 2015 from the University of Illinois at Urbana Champaign in May 2015. His research interests lie in designing practical machine learning techniques for large and complex data and applying them to real world applications. He has been working on various topics in Machine learning and Natural Language Processing, including large-scale classification, structured learning, co-reference resolution, and relation extraction. He will join the Computer Science Department at University of Virginia as an assistant professor in Fall 2016. Read more...

   
  Kevin Driscoll, Post-Doc
Kevin Driscoll's research concerns the popular and political cultures of networked personal computing with special attention to the interplay of myth, folklore, and infrastructure. His dissertation traced the popular history of social computing through the dial-up bulletin board systems of the 1980s and 1990s. Currently, he is working on a pre-history of social media, a cultural history of Minitel, and a series of collaborations with researchers in computer science on the theme of "data-mining yourself." Previously, Kevin received a Ph.D. in Communication at the University of Southern California and an M.S. in Comparative Media Studies at MIT and taught computer science at Prospect Hill Academy Charter School. Read more...
   
 

Josh Mollner, Post-Doc

Josh Mollner received his Ph.D. in Economics from Stanford University. After a year at Microsoft Research, he will join the MEDS Department at Northwestern University’s Kellogg School of Management. His research interests include financial markets and game theory. In particular, some of his current work focuses on the consequences of recent trends toward trading that is faster and more fragmented across venues. He is originally from Minnesota and received his bachelor's degree in economics and mathematics from the University of Notre Dame. Read more...

   
  Praneeth Netrapalli, Post-Doc
Praneeth Netrapalli received his PhD from UT Austin in 2014, where he was advised by Sujay Sanghavi. His research interests are in designing efficient algorithms for machine learning problems that have provable guarantees. His work mainly uses techniques from linear algebra, probability and optimization. Recently he started working on leveraging ideas from his theoretical work to design scalable algorithms for large scale classification problems.  Read more...
   
 

Ricardo Perez-Truglia, Post-Doc
Ricardo Perez-Truglia received his Ph.D. in Economics from Harvard University. His research fields are Public Economics, Political Economy and Behavioral Economics. Ricardo’s research focuses on social interaction models, such as social stigma and social preferences, and involves a combination of experimental and quasi-experimental methods. His research includes questions such as: Should we publicly shame delinquent taxpayers? Are Republicans afraid from revealing their political beliefs to their Democrat friends and neighbors? Do individuals avoid altruism by convincing themselves that others are bad? Does religious participation make you nicer? Why do most people think that they are middle-class and what consequences does this have for redistribution? Ricardo grew up in Buenos Aires, where he received his B.A. and M.A. in Economics from Universidad de San Andres. Read more...

   
 

Daniel Russo, Post-Doc

Daniel Russo received his Ph.D. from Stanford University, where he was advised by Benjamin Van Roy. After a year at Microsoft Research, he will join Northwestern's Kellogg school of Management as an assistant professor. He is interested in the design and analysis of algorithms that learn over time to make increasingly effective decisions through interacting with a poorly understood environment. His research lies at the intersection of statistical machine learning and sequential decision-making, and contributes to the fields of online optimization, reinforcement learning, and sequential design of experiments. Read more...

   
  Aaron Sidford, Post-Doc
Aaron Sidford Aaron Sidford received his PhD. in electrical engineering and computer science from MIT in 2015, where he was advised by Professor Jonathan Kelner. His research interests lie broadly in the theory of computation and the design of efficient algorithms. He is particularly interested in problems at the intersection of combinatorial optimization and numerical analysis. Recently, his research has focused on improving the running time for solving classic problems in algorithmic graph theory while using and improving tools in disciplines ranging from convex analysis to data structures to spectral graph theory. Read more...
   
 

Lana Swartz, Post-Doc

Lana Swartz studies the social dimensions of money and other communication technologies. She has published on bitcoin, fin-tech start-ups, and the gendered history of credit cards. She holds a PhD from the Annenberg School for Communication and Journalism at the University of Southern California and an SM in Comparative Media Studies from the Massachusetts Institute of Technology. She is 2015-2016 Fellow at the Berkman Center of Internet and Society at Harvard University. In the Fall of 2016, she will join the Media Studies department at the University of Virginia as an Assistant Professor. Read more...

   
  James Zou, Post-Doc
James Zou received his Ph.D. from Harvard University in 2014. He was recently a Simons fellow at U.C. Berkeley and a research associate at the Broad Institute. He is interested in developing machine learning algorithms to gain insights into both human evolution and human diseases. He is also interested in design-optimization for synthetic biology and in algorithms inspired by natural and social phenomena.  Read more...
   

Visiting Researchers

  John Lafferty, U Chicago
John Lafferty is a professor in the Department of Statistics and the Department of Computer Science at the University of Chicago. His main research area is statistical machine learning, with a focus on computational and statistical aspects of nonparametric methods, high dimensional data, graphical models, and text modeling. Some current research projects involve adaptive optimization, high dimensional shape restricted inference, and probabilistic modeling of large collections of scientific publications, such as the arXiv and journals of the American Physical Society. Prior to joining the University of Chicago in 2011, he was a faculty member in the Computer Science, Statistics, and Machine Learning Departments at Carnegie Mellon University for many years, where he played a role in founding and directing the Machine Learning Ph.D. program. He is a member of the Advisory Board of the NIPS Foundation, and currently serves as a member of the Committee on Applied and Theoretical Statistics (CATS) of the National Research Council. 
   

Interns

Weekly Visitors

 

Amitabh Chandra, Harvard Kennedy School of Government

Amitabh Chandra is an economist and a Professor of Public Policy at the Harvard Kennedy School of Government. He is a Research Associate at the IZA Institute in Bonn, Germany and at the National Bureau of Economic Research (NBER). He also serves as a Special Commissioner on Provider Price Reform. His research focuses on productivity and cost-growth in healthcare and racial disparities in healthcare. His research has been supported by the National Institute of Aging, the National Institute of Child Health and Development, the Robert Wood Johnson Foundation, and has been published in the American Economic Review, the Journal of Political Economy, the New England Journal of Medicine, and Health Affairs. He is an editor of the Journal of Human Resources, Economics Letters, and the American Economic Journal. Professor Chandra has testified to the United States Senate, the National Academy of Science, the Institute of Medicine and the United States Commission on Civil Rights. His research has been featured in the New York Times, the Washington Post, CNN, Newsweek, and on National Public Radio. He is the recipient of an Outstanding Teacher Award, the first-prize recipient of the Upjohn Institute's International Dissertation Research Award, the Kenneth Arrow Award for best paper in health economics, and the Eugene Garfield Award for the impact of medical research. Read more...

   
 

Ernest Fraenkel, MIT

Ernest Fraenkel studied Chemistry and Physics as an undergraduate at Harvard College and obtained his Ph.D. in Structural Biology at MIT in the department of Biology. After doing post-doctoral work in the same field at Harvard, he turned his attention to the emerging field of Systems Biology. His research now focuses on using high-throughput techniques and computational methods to uncover the molecular pathways that are altered in disease and to identify new therapeutic strategies. Read more...  

   
  Drew Fudenberg, Harvard
Drew Fudenberg is best known for his work on game theory, which ranges from foundational work on learning and equilibrium to the study of particular games used to study e.g. reciprocal altruism, reputation effects, and competition between firms. More recently he has also worked on topics in behavioral economics and decision theory. He is the author of four books, including a leading game theory text. He received an A.B. in applied mathematics from Harvard College in 1978, and a Ph.D. in economics from MIT in 1981, followed by faculty appointments at UC Berkeley, MIT, and Harvard. Read more...
   
 

Elad Haramaty, Northeastern

Elad Haramaty is currently a postdoctoral researcher at Northeastern University in the College of Computer and Information Science with Prof. Emanuelle Viola. Elad earned his PhD from the Technion - Israel Institute of Technology under the guidance of Prof. Amir Shpilka, and completed undergraduate work at the Technion in the mathematics department. Elad's research interests cover a broad range of theoretical computer science, especially algebraic complexity.  

   
 

Parag Pathak, MIT

Parag Pathak is a Professor of Economics at MIT, found¬ing co-director of the NBER Working Group on Market Design, and founder of MIT's School Effectiveness and Inequality Initiative (SEII), a laboratory focused on education, human capital, and the income distribution. His work on mar¬ket design and edu¬ca¬tion was rec¬og¬nized with a Presidential Early Career Award for Scientists and Engineers and an Alfred P. Sloan Fellowship. In 2012, he was selected to give the Shapley Lecture at GAMES2012 as a dis¬tin¬guished game the¬o¬rist under age 40, and he is the recipient of the 2016 Social Choice and Welfare Economics prize. He is currently studying how we can improve the life chances of disadvantaged youth in urban areas.  

   
  Jesse Shapiro, Brown
Jesse Shapiro is the George S. and Nancy B. Parker Professor of Economics at Brown University. Prior to joining Brown University in 2015 he was the Chookaszian Family Professor of Economics at the University of Chicago Booth School of Business. Shapiro received his BA in economics in 2001 and his PhD in economics in 2005 from Harvard University. He is a Research Associate at the National Bureau of Economic Research, an editor of the Journal of Political Economy, and a former associate editor of the American Economic Journal: Applied Economics. He was a 2011-12 Alfred P. Sloan Research Fellow.  
   
  Thomas Streeter, UVM
Thomas Streeter has an undergraduate degree in Semiotics from Brown University and a PhD in Communication from the University of Illinois at Urbana-Champaign, and is a Professor of Sociology at the University of Vermont. His work focuses on what he calls the "soft side of hard issues,” the ways that cultural beliefs help shape things like institutions, property, legal regulation, and technology. His book Selling the Air helped establish a tradition of looking at the role of discourse in shaping media policies. Recent books and articles have examined aspects of the interplay between the internet and society, particularly with regards to laws, policies, and politics. He is currently studying the effect of the digitalization of legal documentation on the character of American legal practice.  
   
  Giorgos Zervas, BU
Georgios Zervas is an assistant professor of Marketing at Boston University School of Management. Before joining BU in 2013 he was a Simons postdoctoral fellow at Yale, and an affiliate at the Center for Research on Computation and Society at Harvard. He received his PhD in Computer Science in 2011 from Boston University. He is broadly interested in understanding the strategic interactions of firms and consumers participating in internet markets using large-scale data collection and econometric analysis. Read more...
   

Remote Researchers in Herzelia, Israel

   
  Moshe Babaioff, Senior Researcher
Moshe Babaioff’s research interests lie in the intersection of Computer Science and Economics and he studies problems on the border of Computer Science Theory, Game Theory, and Microeconomic Theory. Much of his research focuses on the theoretical foundations of electronic markets. Moshe was a Researcher at Microsoft Research Silicon Valley for seven years, starting from 2007. Prior to joining Microsoft Research, he spent two years as a post-doctoral scholar at the University of California, Berkeley. He received his PhD in Computer Science from the Hebrew University in Jerusalem at 2005, where he was advised by Professor Noam Nisan. He holds a M.Sc. in Computer Science and a B.A. in Mathematics and Computer Science, also from the Hebrew University. 
   
 

Yishay Mansour, Principal Researcher

Prof. Yishay Mansour got his PhD from MIT in 1990, following it he was a postdoctoral fellow in Harvard and a Research Staff Member in IBM T. J. Watson Research Center. Since 1992 he is at Tel-Aviv University, where he is currently a Professor of Computer Science and has serves as the head of the School of Computer Science during 2000-2002. Prof. Mansour has held visiting positions with Bell Labs, AT&T research Labs, IBM Research, and Google Research. Prof. Mansour has published over 50 journal papers and over 100 proceeding paper in various areas of computer science with special emphasis on communication networks machine learning, and algorithmic game theory. Prof. Mansour is currently an associate editor in a number of distinguished journals and has been on numerous conference program committees. He was both the program chair of COLT (1998) and served on the COLT steering committee. He has supervised over a dozen graduate students in various areas including communication networks, machine learning, algorithmic game theory and theory of computing. Read more...

   
 

Elad Yom-Tov, Principal Researcher

Elad Yom-Tov is a Senior Researcher at Microsoft Research New York. Before joining Microsoft he was with Yahoo Research, IBM Research (where he held the title of Master Inventor), and Rafael. His primary research interests are in Information Retrieval, large-scale Machine Learning, and Social Analysis. Dr. Yom-Tov studied at Tel-Aviv University and the Technion in Israel. He has published two books, over 60 papers (including 3 award-winning ones), and has 30 filed with 11 issued patents. The results of his research have flown at four times the speed of sound, enabled people to communicate with computers using only their brain-waves, and analyzed cellphone records of a significant portion of the worlds’ population. Read more...

   
   
 

Noga Alon, Weekly Visitor from Tel Aviv University

Noga Alon is a Baumritter Professor of Mathematics and Computer Science at Tel Aviv University, Israel. He received his Ph. D. in Mathematics at the Hebrew University of Jerusalem in 1983 and had visiting positions in various research institutes including MIT, the Institute for Advanced Study in Princeton, IBM Almaden Research Center, Bell Laboratories, Bellcore and Microsoft Research. His research interests are mainly in Combinatorics, Graph Theory and their applications in Theoretical Computer Science. His main contributions include the study of expander graphs and their applications, the investigation of derandomization techniques, the foundation of streaming algorithms, the development and applications of algebraic and probabilistic methods in Discrete Mathematics and the study of problems in Information Theory, Social Choice, Combinatorial Geometry and Combinatorial Number Theory. He is a member of the Israel National Academy of Sciences and of the Academia Europaea, and received the Erdos Prize, the Feher Prize, the Polya Prize, the Bruno Memorial Award, the Landau Prize, the Goedel Prize, the Israel Prize and the EMET Prize. Read more...

   
 

Uriel Feige, Weekly Visitor from Weizmann

Uriel Feige holds the Lawrence G. Horowitz Professorial Chair at the Department of Computer Science and Applied Mathematics in the Weizmann Institute. His general area of interest is that of theory of computing. Most of his work concerns coping with NP-hard problems, and includes the design and analysis of approximation algorithms, rigorous analysis of heuristics, and the study of limitations of these approaches. He shared the Gödel award in 2001, for work on the PCP theorem and hardness of approximation. Read more...

   
 

Michal Feldman, Weekly Visitor from Tel Aviv University

Michal Feldman is an Associate Professor at the School of Computer Science at Tel Aviv University. She received her Ph.D. from the University of California at Berkeley in 2005, and was a postdoctoral fellow at the Hebrew University, where she was also an Associate Professor until 2013. Her research focuses on the intersection of computer science, game theory and microeconomics. Her research has appeared in the leading journals and conferences in all of the above disciplines and has attracted some 2500 citations. She serves as an associate editor on the ACM Transactions on Computation and Economics, and on the journal Networks. She is the recipient of the Alon Fellowship and has been granted several grants, including ISF, Google, Marie Curie International Outgoing Fellowship, and recently the prestigious ERC (European Research Council) grant. She has held visiting positions with the Center for Research on Computation and Society at Harvard University and with Microsoft Research New England. Read more...
   
 

Gil Kalai, Weekly Visitor from Hebrew University of Jerusalem

Gil Kalai, is a Professor of mathematics at the Hebrew University of Jerusalem and has a long term visiting position at Yale University. Kalai is a weekly visitor at the MSR subgroup in Isreal since 2008, and a devoted visitor/fan of the MSR groups in Seattle and New England since 1999. Kalai's research areas are Combinatorics and Convexity. He is interested in the combinatorial theory of convex polytopes, relations of combinatorics with topology and with Fourier analysis, Boolean functions, and threshold and isoperimetric phenomena. He is interested in applications to theoretical computer science, mathematical programming, probability theory, game theory, and economics. Kalai is the recipient of the 1992 Polya Prize, the 1993 Erdos Prize and the 1994 Fulkerson Prize. He was a cofounder of the center for theoretical computer science and discrete mathematics at the Hebrew University. He served in several scientific committees at the university, national and international levels, and he belongs to several editorial boards. In the last years he has been writing a scientific blog, and has been active in various Internet mathematical activities.

Kalai's blog: "Combinatorics and More" http://gilkalai.wordpress.com/
Kalai's home page http://www.ma.huji.ac.il/~kalai/ 

   

Aviv Zohar, Weekly Visitor from Hebrew University

Aviv Zohar is a faculty member at the Hebrew University in Jerusalem. Prior to joining the Hebrew U, he did his postdoc at MSR Silicon Valley. He is interested in the study of multi-agent systems including topics on the border of economics and computer science, social networks and the analysis of incentives in communication protocols. Read more...

   
   
 

Yannai Gonczarowski, Intern from Hebrew University of Jerusalem

Yannai Gonczarowski is a Ph.D. student at the Einstein Institute of Mathematics, the Rachel and Selim Benin School of Computer Science and Engineering and the Center for the Study of Rationality at the Hebrew University of Jerusalem, advised by Profs. Sergiu Hart and Noam Nisan. His research interests include game theory, combinatorics, epistemology and multi-agent systems. In concurrence with his scientific studies, he acquired a bachelor's degree as well as a master's degree, both in Classical Singing, at the Jerusalem Academy of Music and Dance. Read more...  

   
 

Tomer Koren, Intern from Technion

Tomer Koren is a PhD student at the Technion - Israel Institute of Technology, under the supervision of Prof. Elad Hazan. His research interests include machine learning and convex optimization, with a particular focus on online learning, sequential decision making and the design of efficient, online algorithms. Read more...

 
   
 

Roi Livni, Intern from Hebrew University

Roi Livni is a PhD student at the Edmond and Lily Safra Center for Brain Sciences, and at the Rachel and Selim Benin School of Computer Science and Engineering at the Hebrew University of Jerusalem, under the supervision of Prof. Amir Globerson. His main research interests are Statistical Learning Theory and Machine Learning. His research topics include the design of new algorithms as well as attempts to better understand the success of existing methods in machine learning. Read more...

   
Meet the Researchers