Faculty Fellowship Recipients
Faculty Fellowship Award winners 

Meet the exceptionally talented new faculty members who were awarded with the freedom to pursue their vision. 

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Microsoft Research Faculty Fellows for 2014

Yong-Yeol AhnYong-Yeol Ahn
Assistant Professor
School of Informatics and Computing
Indiana University Bloomington

 

Yong-Yeol Ahn’s research develops and leverages mathematical and computational methods to study complex systems such as cells, the brain, society, and culture. His recent contribution includes a new framework to identify pervasively overlapping modules in networks, network-based algorithms to predict viral memes, and a new computational approach to study food culture. He is currently an assistant professor at the School of Informatics and Computing at Indiana University, Bloomington. He worked as a postdoctoral research associate at Northeastern University and at the Dana-Farber Cancer Institute for three years after earning his PhD in Statistical Physics from KAIST in 2008. 

 

Byung-Gon ChunByung-Gon Chun

Assistant Professor
Department of Computer Science and Engineering
Seoul National University

 

Byung-Gon Chun is interested in creating new platforms for operating and distributed systems. He is currently developing a big data platform that makes it easy to implement large-scale, fault-tolerant, heterogeneous data processing applications. He has also built systems that seamlessly integrate cloud computing with mobile devices for improved performance, reliability, and security. Chun received his PhD in Computer Science from the University of California, Berkeley. Prior to joining Seoul National University, Chun was a principal scientist at Microsoft, a research scientist at Yahoo! Research and Intel Research, and a postdoctoral researcher at ICSI.

 

Diego Fernández SlezakDiego Fernández Slezak
Assistant Professor
Department of Computer Science
University of Buenos Aires

 

Diego Fernandez Slezak's work focuses on novel methods for text analysis in massive-scale repositories to find stereotyped patterns in human thought. The goal is the development and use of machine-learning techniques to study digital text corpora associated with cognitive processes, aiming at identifying the mental operations underlying behavioral processes, with application to mental health and education. Diego Fernandez Slezak received his PhD in Computer Science in 2010 from University of Buenos Aires and was recipient of the IBM PhD Fellowship.

 

Roxana GeambasuRoxana Geambasu
Assistant Professor
Computer Science Department
Columbia University

 

Roxana Geambasu works at the intersection of three computer science fields: distributed systems, operating systems, and security and privacy. Her research aims to increase privacy in today's data-driven world. Privacy has become a rare commodity in today's world, due to users who are too eager to share their data online and Web services that aggressively collect and use that information. Roxana's goal is to forge a new world, in which Web services are designed from the ground up with privacy in mind, and where users are more aware of the privacy implications of their online actions. Roxana obtained her Ph.D. from the University of Washington and was awarded a 2014 NSF CAREER award, an Honorable Mention for the 2013 inaugural Dennis M. Ritchie Doctoral Dissertation Award, a William Chan Memorial Dissertation Award, two best paper awards, and a 2013 Google Faculty Research Award.

 

Percy LiangPercy Liang
Assistant Professor
Computer Science Department
Stanford University

 

Percy Liang is an Assistant Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His research interests include (i) parsing natural language into semantic representations (e.g., executable code), for supporting intelligent user interfaces; and (ii) developing machine learning algorithms that infer rich latent structures (e.g., programs) from limited supervision (e.g., program output), balancing computational and statistical tradeoffs. He won a best student paper at the International Conference on Machine Learning in 2008, received the NSF, GAANN, and NDSEG fellowships, and is also a 2010 Siebel Scholar.

 

David SteurerDavid Steurer
Assistant Professor
Department of Computer Science
Cornell University

 

David Steurer investigates the power and limitations of efficient algorithms for optimization problems that are at the heart of computer science and its applications. A focus of his work has been the Unique Games Conjectures whose resolution—no matter in which direction—promises new insights into the capabilities of efficient algorithms. As part of the research effort to resolve this conjecture, he studies provable guarantees of the sum-of-squares method, a compelling meta-algorithm that applies to a wide-range of problems and has the potential to unify the design of efficient algorithms for difficult optimization problems. Steurer received his PhD from Princeton University and was a postdoctoral researcher at Microsoft Research for two years before joining Cornell University. He is the recipient of the 2010 FOCS best paper award, the 2011 ACM Doctoral Dissertation Award Honorable Mention, an NSF CAREER Award, and an Alfred P. Sloan Research Fellowship.

 

Vinod VaikuntanathanVinod Vaikuntanathan
Assistant Professor
Electrical Engineering & Computer Science Department
Massachusetts Institute of Technology

 

Vinod Vaikuntanathan is a Steven and Renee Finn Career Development Assistant Professor of Computer Science at MIT. His main research interest is in the theory and practice of cryptography. He works on lattice-based cryptography, building advanced cryptographic primitives using integer lattices; leakage-resilient cryptography, defining and developing algorithms resilient against adversarial information leakage; and more recently, the theory and practice of computing on encrypted data, constructing powerful cryptographic objects such as fully homomorphic encryption and functional encryption. Vinod got his Ph.D. from MIT where he received a 2009 George M. Sprowls Award for the best MIT Ph.D. thesis in Computer Science. He is also a recipient of the 2008 IBM Josef Raviv Postdoctoral Fellowship, the 2009, the 2013 Alfred P. Sloan Research Fellowship, and a 2014 NSF CAREER award.

 

Microsoft Research Faculty Fellows for 2013

Animashree AnandkumarAnimashree Anandkumar

Assistant Professor

Department of Electrical Engineering and Computer Science

University of California Irvine

 

Animashree Anandkumar's research lies at the interface of theory and practice of large-scale machine learning and high dimensional statistics. Her theoretical contributions include analysis of high-dimensional estimation of graphical models and developing tensor methods for learning latent variable models. She has applied the developed algorithms to various problems in social networks and computational biology. She is currently an assistant professor at the Department of Electrical Engineering and Computer Science at the University of California Irvine. She spent a year as a postdoctoral researcher at MIT and got her PhD from Cornell University. She has been a visiting researcher at Microsoft Research New England. She is the recipient of the ARO Young Investigator Award, NSF CAREER Award, IBM Fran Allen PhD fellowship, and several paper awards.

 

Katrina LigettKatrina Ligett

Assistant Professor

Computer Science and Economics

California Institute of Technology

 

Katrina Ligett is an assistant professor of Computer Science and Economics at Caltech. In her research, she develops theoretical tools to address problems in data privacy and to understand individual incentives in other complex settings. She received her PhD from Carnegie Mellon University in 2009 and was a postdoctoral fellow at Cornell University before joining the California Institute of Technology in 2011. She is a recipient of the AT&T Labs Graduate Research Fellowship, the NSF Graduate Research Fellowship, the CIFellows Postdoctoral Research Fellowship, the NSF Mathematical Sciences Postdoctoral Research Fellowship, and an NSF CAREER award.

 

Michael MilfordMichael Milford

Senior Lecturer

School of Electrical Engineering and Computer Science 

Queensland University of Technology

 

Michael Milford’s research investigates how robots and biological systems map and navigate the world. He builds computational models based on experimental results and theories from the fields of neuroscience and biology and deploys them on robotic systems navigating in challenging real world environments. This novel research methodology has produced state-of-the-art results in robotics and yielded insights into how the brain may map and navigate the world. Milford received his PhD from the University of Queensland in 2006 and is the recipient of an Australian Research Council DECRA Fellowship and Discovery Project award.

 

Ruslan SalakhutdinovRuslan Salakhutdinov
Assistant Professor

Department of Statistics and Computer Science

University of Toronto

 

Ruslan Salakhutdinov received his PhD in computer science from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an assistant professor in the departments of Statistics and Computer Science. His primary interests lie in artificial intelligence, machine learning, deep learning, and large-scale optimization. His main research goal is to understand the computational and statistical principles required for discovering structure in large amounts of data. He is an action editor of the Journal of Machine Learning Research and served on the senior programme committee of several learning conferences, including NIPS and ICML. He is an Alfred P. Sloan Research Fellow, a recipient of the Early Researcher Award and Connaught New Researcher Award, and is a Scholar of the Canadian Institute for Advanced Research.

 

Michael SchapiraMichael Schapira

Senior Lecturer

School of Computer Science and Engineering

Hebrew University of Jerusalem

 

Michael Schapira's research draws ideas from algorithmic and economic theory to design practical Internet protocols with provable guarantees (for example, for routing and traffic management). His research aims to both “fix”' today's Internet protocols and to design new and improved (better performing, secure, failure-resilient, and so forth) protocols for the future Internet. Schapira also has a broad research interest in the interface of computer science, game theory, and economics. He is a recipient of the Allon Fellowship (2011) and a member of the Israeli Center of Research Excellence in Algorithms. Prior to joining Hebrew University, Schapira was a postdoctoral researcher at the University of California Berkeley, Yale University, and Princeton University, and a visiting scientist in Google New York’s Infrastructure Networking group.

 

Monica TentoriMonica Tentori

Assistant Professor

Department of Computer Science

Center for Scientific Research and Higher Education (CICESE)

 

Monica Tentori investigates the human experience of ubiquitous computing to inform the design of ubiquitous environments that effectively enhance humans’ interactions with their world. Her research intersecting human-computer interaction and ubiquitous computing particularly focuses on designing, developing, and evaluating natural user interfaces, self-reflection capture tools, and new interaction models for ubiquitous computing. Her work is being applied to healthcare and urban living to support the needs of urban citizens, hospital workers, elders, and individuals with autism and their caregivers. Tentori's research demonstrates that effectively designed ubiquitous environments have the potential to promote healthy lifestyles and independence, and positively impact attention, behavior, and workload.

 

Ryan WilliamsRyan Williams

Assistant Professor

Computer Science Department

Stanford University

 

Ryan Williams works in algorithm design and complexity theory. He studies how to construct more efficient algorithms for solving computational problems, as well as how to mathematically rule out the possibility of efficient algorithms for other problems. Such impossibility results are generally perceived as very difficult; algorithms can be very clever, and it is hard to reason about all cleverness one could have. The famous P versus NP question asks about the power of efficient algorithms. Williams' work shows how the design and analysis of algorithms for core problems in computer science can often be exploited to rule out efficient algorithms for other core problems, raising new questions about our understanding of efficient computation. Williams received his PhD from Carnegie Mellon University in 2007 under Manuel Blum. His honors include some best paper awards and an Alfred P. Sloan Fellowship.

 

Microsoft Research Faculty Fellows for 2012

Emma BrunskillEmma Brunskill

Assistant Professor

Department of Computer Science

Carnegie Mellon University

 

Emma Brunskill's research focuses on creating automated decision systems that interact with people, a challenge that spans artificial intelligence, machine learning, and human-computer interaction. She is particularly interested in adaptive, individualized tutoring systems that learn and self-optimize. Emma also works on health applications and on using information communication technologies to address challenges in low resource settings and developing regions.

 

Constantinos DaskalakisConstantinos Daskalakis

Assistant Professor
Department of Electrical Engineering and Computer Science

Massachusetts Institute of Technology

 

Constantinos Daskalakis is the X Consortium Assistant Professor of Computer Science at MIT. His research studies the interface of computer science and economics, with a focus on computational aspects of the Internet, online markets, and social networks. Daskalakis has been honored with the 2007 Microsoft Graduate Research Fellowship, the 2008 ACM Doctoral Dissertation Award, the 2010 Sloan Fellowship, the 2011 SIAM Outstanding Paper Prize, and the MIT Ruth and Joel Spira Award for Distinguished Teaching. His work on the complexity of the Nash equilibrium was honored by the Game Theory Society with the First Computer Science and Game Theory prize. Daskalakis received his PhD in Computer Science from UC Berkeley and was a post-doctoral researcher at Microsoft Research prior to joining MIT.

 

Stephen GouldStephen Gould

Senior Lecturer
School of Computer Science

Australian National University

 

Stephen Gould is a faculty member in the Research School of Computer Science at the Australian National University. He received his PhD from Stanford University in 2010. Prior to his PhD, Stephen founded and worked in a number of start-up companies. Stephen's current research interests are in developing mathematical models that allow computers to learn how to interpret scenes from images. This involves recognizing objects and understanding how they interact with other objects and with their environment.

 

Andreas KrauseAndreas Krause

Assistant Professor

Department of Computer Science
ETH Zurich

 

Andreas Krause's research is in learning and adaptive systems that actively acquire information; reason; and make decisions in large, distributed, and uncertain domains, such as sensor networks and the web. It spans theoretical aspects in machine learning and optimization, as well as interdisciplinary applications, ranging from community sensing to computational sustainability to social networks. He got his PhD in Computer Science from Carnegie Mellon University in 2008. He is a Kavli Frontiers Fellow of the U.S. National Academy of Sciences, and received an NSF CAREER award as well as several best paper awards.

 

Miriah MeyerMiriah Meyer

Assistant Professor

School of Computing
University of Utah

 

Miriah Meyer's research lives at the interface of computer science and data-intensive domains, where she designs interactive visualization systems that help scientists make sense of complex data. Her current work focuses on nimble and intuitive visualization tools that support research in genomics and molecular biology. Meyer takes a user-centered, problem-driven approach to developing visualizations that target specific scientific questions, working closely with scientists in an iterative and collaborative process. Her tools are integrated into the workflow of numerous biological labs and have led to several scientific discoveries, as well as to the validation and refinement of experimental and computational methods.

 

Juan Carlos NieblesJuan Carlos Niebles

Assistant Professor
Electrical and Electronic Engineering

Universidad del Norte

 

Juan Carlos is interested in helping computers and robots see the world. In particular, his research is focused on designing novel algorithms for automatic recognition and detailed understanding of human motions, activities, and behaviors from images and videos. This technology has the potential to enable new life-improving activity-aware systems, such as personal robots and smart homes, smart video surveillance, medical diagnosis and monitoring, automated sports analysis, and semantic video search.

 

Ashutosh SaxenaAshutosh Saxena

Assistant Professor
Department of Computer Science

Cornell University

Ashutosh Saxena works on a new generation of robots that will operate fully autonomously in human environments. His research is focused on the development of new machine-learning algorithms that enable robots to process massive amounts of sensory input data in real time and learn how to perform tasks in unstructured environments. His primary application domain is in assistive robotics, where his algorithms have enabled robots to perform tasks such as fetching items on verbal request, perform basic household chores, and identify and assist in human activities. He hopes to see such assistive robots appear in our homes, offices, and nursing homes soon.

 

Microsoft Research Faculty Fellows for 2011

Maria Florina BalcanMaria Florina Balcan
Assistant Professor
School of Computer Science
Georgia Institute of Technology

Maria Florina Balcan is an assistant professor in the School of Computer Science at Georgia Institute of Technology. She received her PhD in Computer Science from Carnegie Mellon University under the supervision of Avrim Blum. From October 2008 until July 2009, she was a postdoc at Microsoft Research, New England. Her main research interests are computational and statistical machine learning, computational aspects in economics and game theory, and algorithms. She is a recipient of the Carnegie Mellon University SCS Distinguished Dissertation Award and the National Science Foundation NSF CAREER Award.

Krishnendu ChatterjeeKrishnendu Chatterjee
Assistant Professor
IST Austria

Krishnendu is interested in graph games that arise in the formal verification of systems, and has deep connections with logic and automata theory. He established many fundamental results related to stochastic games on graphs, and is currently working on quantitative graph games and its application to synthesis of correct systems. He got his PhD from University of California, Berkeley in 2007, and his thesis won the David Sakrison Memorial Prize and Ackermann Award.

Jure LeskovecJure Leskovec
Assistant Professor
Department of Computer Science
Stanford University

Jure Leskovec is an assistant professor of Computer Science at Stanford University. His research focuses on the analysis and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. Problems he investigates are motivated by large scale data, the Web and Social Media. Jure received his PhD in Machine Learning from Carnegie Mellon University in 2008 and spent a year at Cornell University. His work received six best paper awards, won the ACM KDD cup and topped the Battle of the Sensor Networks competition

Alistair McEwanAlistair McEwan
Lecturer of Computer Engineering
School of Electrical and Information Engineering
The University of Sydney

Alistair McEwan’s work aims to solve major health issues with technology, and involves research in the emerging field of bioelectronics—the interaction between electronics and biology. His current investigation of the electrode–skin interface aims to improve emergency diagnosis of heart attack and stroke as well as long-term monitoring of cardiovascular disease. He also works on related projects in electrical-impedance imaging systems, microelectronic circuits and systems, and neuromorphic engineering.

Shwetak Patel Shwetak Patel
Assistant Professor
Departments of Computer Science & Engineering and Electrical Engineering
University of Washington

Shwetak Patel's research is at the intersection of hardware, software, and human-computer interaction. His research focuses on building easy-to-deploy and practical sensing systems for the home. His work is being applied to sustainability, elder care, home safety, and the creation of new approaches for natural user interfaces. Many of his techniques use the existing utilities infrastructure as a "sensor," thereby reducing the need for additional instrumentation. In one example, Patel has developed techniques for energy and water monitoring that provide a detailed breakdown of consumption in the home through monitoring a single point on the utility infrastructure. Through these new sensing approaches, Patel envisions the ability to instrument homes easily with smart technology for high-value applications.

Anderson de Rezende RochaAnderson de Rezende Rocha
Assistant Professor
Institute of Computing
University of Campinas

Prof. Rocha's research interests include digital image and video forensics, computer vision, pattern analysis, and machine intelligence—focused on the field of digital document forensics. He seeks solutions for problems regarding collection, organization, and classification of digital evidence that is used by law enforcement agencies in Brazil and abroad. He is investigating how to reduce the misuse of important evidence and is working on digital categorization solutions to reduce the technical effort that is required to analyze each piece of evidence. Prof. Rocha’s work emphasizes tracking the source of the evidence, new techniques for establishing authenticity, and exposing possible tampering.

Keith Noah SnavelyKeith Noah Snavely
Assistant Professor
Computer Science Department
Cornell University

Noah Snavely is interested in using massive collections of images on the web to better understand and visualize our world. His research builds new computer-vision algorithms for scalable 3-D reconstruction, new graphics techniques for experiencing places through online photos, and new ways to enable communities of photographers to capture useful image collections. His software is being used by educators, artists, and scientists across a range of disciplines.

Brent WatersBrent Waters
Assistant Professor
Department of Computer Sciences
University of Texas

Brent Waters studies cryptography and computer security. His research is laying the foundations for a new vision of encryption called Functional Encryption. Instead of encrypting to individual users, in a Functional Encryption system, one can embed any access predicate into the cipher text itself. In addition, he is interested in understanding the foundational underpinnings of cryptography and in developing security primitives that are both practical and provably secure.

Microsoft Research Faculty Fellows for 2010

Sinan AralSinan Aral
Department of Information, Operations, and Management Sciences
NYU Stern School of Business

Doug DowneyDoug Downey

Department of Electrical Engineering and Computer Science
Northwestern University

Raanan FattalRaanan Fattal
School of Computer Science and Engineering
The Hebrew University of Jerusalem

Abhi Shelatabhi shelat
Department of Computer Science
University of Virginia

Haiying ShenHaiying Shen
Department of Electrical and Computer Engineering
Clemson University

Cyrill StachnissCyrill Stachniss
Department of Computer Science
University of Freiburg, Germany

Evimaria TerziEvimaria Terzi
Computer Science Department
Boston University

Microsoft Research Faculty Fellows for 2009

Gill BejeranoGill Bejerano
Developmental Biology and Computer Science
Stanford University

Luis CezeLuis Ceze
Computer Science and Engineering
University of Washington

Nicole ImmorlicaNicole Immorlica
Electrical Engineering and Computer Science Department
Northwestern University, McCormick School of Engineering

Svetlana LazebnikSvetlana Lazebnik
Department of Computer Science
University of North Carolina at Chapel Hill

Rafael PassRafael Pass
Department of Computer Science
Cornell University

Microsoft Research Faculty Fellows for 2008

Kristen GraumanKristen Grauman
Computer Sciences
University of Texas at Austin

Susan HohenbergerSusan Hohenberger
Department of Computer Science
Johns Hopkins University

Robert KleinbergRobert Kleinberg
Computer Science
Cornell University

Philip LevisPhilip Levis
Departments of Computer Science and Engineering
Stanford University

Karen LipkowKaren Lipkow
Department of Biochemistry
University of Cambridge

Russell TedrakeRussell Tedrake
Electrical Engineering and Computer Science
Massachusetts Institute of Technology

Microsoft Research Faculty Fellows 2007

Magdalena BalazinskaMagdalena Balazinska
Department of Computer Science and Engineering
University of Washington

Josh BongardJosh Bongard
Department of Computer Science
University of Vermont

Yixin ChenYixin Chen
Department of Computer Science and Engineering
Washington University in St. Louis

Adam SiepelAdam Siepel
Biological Statistics and Computational Biology
Cornell University

Luis von AhnLuis von Ahn
Department of Computer Science
Carnegie Mellon University

Microsoft Research Faculty Fellows 2006

Regina BarzilayRegina Barzilay
Computer Science and Artificial Intelligence
Massachusetts Institute of Technology

Aaron HertzmannAaron Hertzmann
Computer Science
University of Toronto

Scott KlemmerScott Klemmer
Computer Science
Stanford University

Eddie KohlerEddie Kohler
Computer Science
University of California, Los Angeles

Fei-Fei LiFei-Fei Li 
Computer Science
Stanford University

No photo availableMark Rouncefield
Computing Department
University of Lancaster

Andrey RybalchenkoAndrey Rybalchenko
Max Planck Institute for Software Systems

Microsoft Research Faculty Fellows 2005

Ruth BakerRuth Baker
Centre for Mathematical Biology
University of Oxford

Fredo DurandFrédo Durand
Computer Graphics
Massachusetts Institute of Technology

Subhash KhotSubhash Khot
College of Computing
Georgia Institute of Technology

Dan KleinDan Klein
Computer Science Division
University of California at Berkeley

Radhika NagpalRadhika Nagpal
School of Engineering and Applied Sciences
Harvard University

Wei WangWei Wang
Department of Computer Science
University of North Carolina at Chapel Hill

Klaus-Peter ZaunerKlaus-Peter Zauner
School of Electronic and Computer Science
University of Southampton