New England Lab Current Members' Bios

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

Permanent Members

Boaz Barak  Boaz Barak, Senior Researcher
Boaz Barak received his Ph.D in 2004 from the Weizmann Institute of Science. Following a postdoc at the Institute for Advanced Study, he joined the faculty of Princeton University where he was most recently an associate professor of Computer Science. He is interested in theoretical computer science, and in particular cryptography and computational complexity. He has won the ACM doctoral dissertation award in 2004 and a Packard fellowship in 2007. Read more...
   
 

Nancy Baym, Principal Researcher

Nancy Baym was previously a Professor of Communication Studies at the University of Kansas. She received her Ph.D. from the University of Illinois at Urbana-Champaign writing the first dissertation about online community. Her primary research interests are the roles social media play in personal relationships and between artists and audiences and qualitative research methods in internet research. Her recent books include Personal Connections In The Digital Age (Polity Press) and, with co-editor Annette Markham, Internet Inquiry: Conversations About Methods (Sage Publications). In the late 1990s she co-founded the Association of Internet Researchers and served as its first vice-president and second president. She serves on the editorial boards of numerous journals including New Media & Society, The Journal of Communication, The Information Society and others. Read more... 

   
Christian Borgs, Deputy Managing Director
Christian Borgs is deputy managing director of Microsoft Research lab in Cambridge, Massachusetts. He is also an affiliate professor of mathematics at the University of Washington. Before becoming deputy managing director of the New England lab, he was a principal researcher and co-manager of the Theory Group at Microsoft Research. Borgs’ research areas include properties of self-engineered networks, phase transitions in theoretical computer science, and algorithmic game theory. Read more... 
   
Jennifer Chayes, Managing Director
Jennifer Tour Chayes is managing director of the newly opened Microsoft Research New England lab in Cambridge, Massachusetts. 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. Her 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 almost 100 scientific papers and the co-inventor of more than 20 patents. 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...
   
  Kate Crawford, Principal Researcher
For ten years, Kate Crawford has researched the social, political and cultural practices that surround and inform media technologies. She is an Associate Professor at the University of New South Wales and former Deputy Director of the Journalism and Media Research Centre. Prior to this, she was a founding member of the Media and Communications Department at the University of Sydney. She has conducted large-scale studies of mobile and social media use at sites around the world, including India and Australia, and has been awarded both the R.M Crawford Medal and the Manning Clark Cultural Award. Her work has featured in The Wall Street Journal, BBC’s The World Today, ABC TV, and The Sydney Morning Herald among others. Her current projects include the long-term implications of Big Data, social news, mobiles and privacy, the changing spaces of social and anti-social media, and the way media technologies are used during disasters and other acute events. Read more...
   
 

Mary L. Gray, Senior Researcher

Mary Gray 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 shape people's lives. Her most recent 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, examines how lesbian, gay, bisexual, and transgender young people negotiate and express their identities in rural parts of the United States—and the role that media, particularly the Internet, play in their lives and political work. She served on the executive board of the American Anthropological Association from 2008 until 2010 and holds a seat on that group's Committee on Public Policy. She’s been an associate professor of Communication and Culture at Indiana University, with adjunct appointments in American Studies, Anthropology, and Gender Studies. Read more...

   
 

Luong Hoang, Research Software Design Engineer (RSDE) II

Luong (Louie) received a B.S. in Mathematics, Computer Science and Quantitative Economics from Drake University in 2008. He was named the Outstanding Student in Mathematics and is a recipient of the Best Undergraduate Research Paper award at MICS 07 conference. 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 MIT studying Computer Science with a specific focus on Machine Learning and Computer Vision. Read more…

   
 

Nicole Immorlica, 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...

   
 

Sham Kakade, Principal Researcher

Sham Kakade is a senior researcher. He works on designing scalable and efficient algorithms for machine learning and artificial intelligence. Recently, his focus is two-fold: 1) designing effective algorithms which discover latent structure and features and 2) understanding how to efficiently achieve state of the art (supervised) performance on challenging datasets (in domains such as vision and NLP domains). Sham was previously an associate professor of statistics at the Wharton School at the University of Pennsylvania and an assistant professor at the Toyota Technological Institute. He received his B.A. from the California Institute of Technology and his Ph.D. from the Gatsby Computational Neuroscience Unit affiliated with University College London. He was a Postdoctoral Researcher at the Department of Computer and Information Science at the University of Pennsylvania, with Michael Kearns. 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... 
   
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...
   
 

Ce Liu, Researcher
Ce Liu just joined MSRNE as a postdoc researcher right after he obtained his PhD from Massachusetts Institute of Technology. He received the BS degree in automation and the ME degree in pattern recognition from the Department of Automation, Tsinghua University in 1999 and 2002, respectively. From 2002 to 2003, he worked at Microsoft Research Asia as an assistant researcher. His research interests include computer vision, computer graphics, and machine learning. He has published more than 20 papers in the top conferences and journals in these fields. He received a Microsoft Fellowship in 2005, the outstanding student paper award at the Advances in Neural Information Processing Systems (NIPS) in 2006, a Xerox Fellowship in 2007, the best student paper award at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in 2009. 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 my 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... 

   
Madhu Sudan

Madhu Sudan, Principal Researcher

Madhu Sudan got his Ph.D. from UC Berkeley in 1992, and joined MSR in May 2009 after stints in IBM Research (1992-1997) and MIT (1997-2009) where he was the Fujitsu Professor of EECS and Associate Director of MIT's Computer Science and Artificial Intelligence Laboratory. Madhu Sudan's research lies in the fields of computational complexity theory, algorithms and coding theory. He is best known for his works on probabilistic checking of proofs, and on the design of list-decoding algorithms for error-correcting codes. His current research interests include semantic communication and property testing. In 2002, Madhu Sudan was awarded the Nevanlinna Prize, for outstanding contributions to the mathematics of computer science, at the International Congress of Mathematicians in Beijing. Read more...

   

Post-Docs

   
 

Siu On Chan, Post-Doc

Siu On Chan got his PhD at UC Berkeley under the supervision of Luca Trevisan and Elchanan Mossel. His research interests in theoretical computer science include hardness of approximation, distributional property testing, and random constraint satisfaction problems. He won a Best Paper Award and Best Student Paper Award at STOC 13. Read more...

   
 

Megan Finn, Post-Doc

Megan Finn received her PhD from University of California, Berkeley from the School of Information. Her research areas include information infrastructure, crisis informatics and history of information. She also holds a Masters in Information Management and Systems from Berkeley and BS in Computer Science from University of Michigan. Read more...

   

Hu Fu, Post-Doc

Hu Fu received his PhD in Computer Science from Cornell University, where he was advised by Bobby Kleinberg. He is interested in algorithmic mechanism design and broadly theoretical computer science. One theme in his research is the design and analysis of simple, practical and approximately optimal mechanisms. Read more... 

   
 

Rong Ge, Post-Doc

Rong Ge received his PhD from Princeton University. His advisor is Sanjeev Arora. He is mainly interested in applying algorithm design techniques from theoretical computer science to machine learning problems, with the hope of provable algorithms and better understanding of the machine learning models. Other than that, Rong Ge is broadly interested in many problems related to theory or applying theory to other fields, his other works include algorithms using SDP hierarchies and applying computational complexity to financial derivatives. Read more...

   

Anthony Gitter, Post-Doc

Anthony Gitter received his PhD in Computer Science from Carnegie Mellon University under the supervision of Ziv Bar-Joseph. His research is in computational biology with an emphasis on the networks problems that arise in systems biology. Anthony is especially interested in the mechanisms that underlie human disease and the hidden layers of biological phenomena. Read more...

   
 

Nikolai Gravin, Post-Doc

Nikolai Gravin finished graduate school at Saint-Petersburg department of Steklov Mathematical Institute in Russia. At the same time he was a PhD student at the mathematical department of Nanyang Technological University in Singapore. His research interests are twofold. In Mathematics he has been working in graph theory, convex and discrete geometry. In Theoretical Computer Science he is particularly interested in Algorithmic Mechanism Design and Equilibria computations. Read more...

   
 

Jessa Lingel, Post-Doc

Jessa Lingel is a PhD candidate in library and information science at Rutgers University. She has an MLIS from Pratt Institute and an MA from New York University. Her research interests include information inequality, socio-cultural politics of social media technologies and technological nostalgia.  Read more...

   
 

Gregory Minton, Post-Doc

Gregory Minton recently graduated from the PhD program in Mathematics at MIT, where he worked with Abhinav Kumar. His thesis was in computer-assisted proof, and in particular the rigorous verification of numerical results. This work studied problems ranging from discrete geometry in abstract mathematical spaces to gravitational orbits in outer space. In addition, he is interested in data visualization and other applications at the intersection of abstract theory and hands-on computation. Read more...

   

Michael Rubinstein, Post-Doc

Michael received his PhD from MIT, where he was advised by Bill Freeman. His research is in computer vision and graphics, and focuses on areas in image/video processing, and computational photography and video. He is a recipient of the Microsoft Research PhD Fellowship (2012), and the NVIDIA Graduate Fellowship (2011). Read more...

   
 

Sivan Sabato, Post-Doc

Sivan Sabato finished her PhD in Computer Science at the Hebrew University of Jerusalem, under the supervision of Naftali Tishby. She previously earned an M.Sc. in Computer Science from the Technion, under the supervision of Yoad Winter. Her main research interests are in machine learning theory, algorithms and applications. Read more...

   
 

Philipp Strack, Post-Doc

Philipp Strack studied Mathematics and Economics at the University of Bonn from where he received his PhD in in 2013. His research interests include dynamic mechanism design, stochastic control and optimal stopping. He is especially interested in the role of private information in dynamic optimization problems. Read more...

   
 

Omer Tamuz

Omer Tamuz received his Ph.D. in mathematics from the Weizmann Institute in 2013, under the supervision of Elchanan Mossel. His interests include topics in game theory, group actions, random walks and machine learning. Read more...

   

Visiting Researchers

   

Tarleton Gillespie, Cornell

Tarleton Gillespie is an associate professor at Cornell University, in the Department of Communication and the Department of Information Science. His current research examines the sociological implications of online media platforms and their search 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). Read more...

   
  Venkatesan Guruswami, Carnegie Mellon University
Venkatesan Guruswami got his Ph.D. from MIT in 2001, and is currently a faculty member in the computer science department at Carnegie Mellon University. He was Miller Research Fellow at UC Berkeley during 2001-02 and a member at the Institute for Advanced Study during 2007-08. Venkat is a theoretical computer scientist with rather broad interests, including the theory of error-correcting codes, pseudorandomness, approximation algorithms, hardness of approximation, probabilistically checkable proofs, and algebraic algorithms. His work on list decoding has led to codes with minimum possible redundancy for correcting any desired fraction of worst-case errors. Venkat received the Presburger Award for outstanding contributions in theoretical computer science in 2012. His earlier honors include the Packard Fellowship, the ACM Doctoral Dissertation Award, and the IEEE Information Theory Society Paper Award. Read more...
   

Michael Mitzenmacher, Harvard University

Michael Mitzenmacher is a Professor of Computer Science in the School of Engineering and Applied Sciences at Harvard University, and currently serves as Area Dean for Computer Science. He graduated summa cum laude with a degree in mathematics and computer science from Harvard in 1991. After studying math for a year in Cambridge, England, on the Churchill Scholarship, he obtained his Ph. D. in computer science at U.C. Berkeley in 1996. He then worked at Digital Systems Research Center until joining the Harvard faculty in 1999. Michael has authored or co-authored over 150 conference and journal publications on a variety of topics, including Internet algorithms, hashing, load-balancing, erasure codes, error-correcting codes, compression, bin-packing, and power laws. His work on low-density parity-check codes received the 2002 IEEE Information Theory Society Best Paper Award and the 2009 SIGCOMM Test of Time Award. His textbook on probabilistic techniques in computer science, co-written with Eli Upfal, was published in 2005 by Cambridge University Press. Read more... 

   
 

Remi Munos, INRIA

Remi Munos received his PhD in 1997 in Cognitive Science from EHESS, France, and later did a postdoc at CMU under the supervision of Andrew Moore. From 2000 to 2006 he was Assistant Professor in the department of Applied Mathematics at Ecole Polytechnique. In 2006 he joined the French public research institute INRIA as a Senior Researcher and co-created the project-team SequeL (Sequential Learning) which gather approximately 25 people. His research interests cover several fields of Statistical Learning including Reinforcement Learning, Optimization, and Bandit Theory. Read more...

   
 

Jonathan Sterne, McGill University

Jonathan Sterne is a Professor of Communication Studies at McGill University. He writes on the history and theory of media, with a special emphasis on technologies of sound. His most recent book, MP3: The Meaning of a Format was named the top music book of 2012 by The Village Voice. He currently works on cultures of audio signal processing, from the ideas and practices baked into new kinds of musical instruments and software, to the interactions between software companies and musicians. While at MSR he hopes to learn enough about quantum physics to make sense of Dennis Gabor’s contributions to information theory. He is also working on a project about sensory impairments. He or his work has appeared in the New York Times, The New Yorker, Wired Magazine, The Wire, The Wall Street Journal, The Times Higher Education Supplement, The Globe and Mail, Pitchfork, and on NPR, CBC, ABC and Deutchlandradio Kultur Berlin. Read more...

   

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...

   
 

Bill Freeman, MIT

Bill Freeman is a professor in the EECS Department at MIT, directing a computer vision research group in CSAIL. He is interested in novel camera designs (computational photography) and in topics at the intersections of computer vision, computer graphics, and machine learning. Questions of interest include how to characterize and represent images and image sequences, how to sample signals, and how to re-render videos to reveal otherwise unseen signals of interest. In 2010, he was an Associate Director of CSAIL.  Read more...

   

Jason Miller, MIT

Jason Miller received his Ph.D. in mathematics from Stanford University in 2011. He was a post-doctoral researcher in the Theory Group at MSR in Redmond from 2010-2012 and is currently a post-doc in the mathematics department of MIT. He is interested in all forms of probability theory, including SLE, random walks, and random surfaces. Read more...

   
 

Kavita Ramanan, Brown University

Kavita Ramanan is a professor of Applied Mathematics at Brown University. Her research interests lie in the area of probability theory, stochastic processes and their applications. She is a Fellow of the Institute of Mathematical Statistics, a recipient of the Erlang Prize of the Applied Probability Society, the Stella Dafermos Prize and the Simon Ostrach Fellowship. She has also served as an associate editor of several journals, including the Annals of Probability, Annals of Applied Probability, Mathematics of Operations Research, Queueing Systems and Stochastic Analysis and its Applications.  Read more...

Interns

   

Lukas Zilka, Charles University, Prague

Lukas’ interests lie in artificial intelligence, particularly automatic spoken conversation systems, and lately neuroscience. How to teach computers to understand our language? What is the minimal learning algorithm that an agent needs to operate in an environment? Can the answer be inspired by how humans learn? His goal is to build an automatic conversational system that truly learns.

 
 

Remote Researchers in Herzelia, Israel

Noam Nisan, Principal Researcher

Noam Nisan works on the border of Computer Science, Game theory, and Economic theory, and, in particular, in a sub-field that he has initiated, "Algorithmic Mechanism Design". He has previously worked on Computational complexity theory. Noam got his Ph.D. at U.C. Berkeley and is a professor of Computer Science and a member of the Rationality Center at the Hebrew University of Jerusalem. His awards include the ACM distinguished dissertation, the Bruno award, and the Godel prize.  Read more... 

   
 

Moshe Tennenholtz, Principal Researcher

Moshe is a principal researcher with Microsoft Research and a full professor at the Technion—Israel Institute of Technology, where he is an incumbent of the Sondheimer Chair. Moshe founded the first pure research group at the Microsoft Israel R&D Center, focusing on e-commerce and game theory, now part of MSR-NE. Moshe pioneered several lines of research in the interplay between artificial intelligence and game theory along 20+ years of research. He was also a co-founder and chief scientist of companies in the area of e-commerce. Read more...  

   
 

Elad Yom-Tov, Senior 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.

   
 

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.

   
 

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. 
   

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... 

   
 

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/ 

   

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. 

   

Omer Lev, Intern from Hebrew University of Jerusalem

Omer Lev is a PhD. student at the Hebrew University in Jerusalem, under the supervision of Prof. Jeff Rosenschein. His research focuses on the connection between mathematics and computer science with economics and human behavior, using the framework of game theory. In particular, he explores computational social choice, which deals with the way people (and complex systems and agents) make decisions, and auctions, which model some basic human interactions. 

   
 

Yishay Mansour, Weekly Visitor from Tel-Aviv University

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.

   

Sigal Oren, Post-Doc

Sigal Oren received her PhD in Computer Science from Cornell University, where she was advised by Jon Kleinberg. She is interested in understanding algorithmic aspects of social phenomena in social networks and in general. 

   

Fiana Raiber, Intern, Technion

Fiana Raiber is a Ph.D. student at the Technion-Israel Institute of Technology. Her research focuses on information retrieval.  

   
 

Mariano Schain, Intern, Tel Aviv University

Mariano Schain is a PhD. student at Tel Aviv University, under the supervision of Prof. Yishay Mansour. Mariano’s Machine Learning research focuses on Domain Adaptation and the theory and practice of strategies for Trading Agents (Taking part in the Ad-Auctions game of the Trading Agent Competition since 2010, recently winning the 2013 tournament). During the many years since receiving his M.Sc. degree, Mariano was a Senior Member of the Technical Staff at Texas Instruments serving in TI’s Broadband group as Software Manager, Chief Software Architect, and Manager of Methodologies. To read more: http://www.cs.tau.ac.il/~marianos 

   

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. 

   
Meet the Researchers