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Faculty

Sadaoki Furui Sadaoki Furui, President
PhD - University of Tokyo
Publication List | CV
Research Interests: Machine learning, speech recognition and understanding, speaker recognition, speech synthesis, and multimodal human-computer interaction.
Mohit Bansal Mohit Bansal, Research Assistant Professor
PhD - University of California at Berkeley
Bio | Home Page
Research Interests: Statistical natural language processing and machine learning, with a focus on lexical semantics, syntactic parsing, coreference resolution, information extraction, and structured prediction.
Shai Ben-David Shai Ben-David, Adjoint Professor
PhD - Hebrew University
Bio
Research Interests: Span a wide spectrum of topics in the foundations of computer science and its applications, with a particular emphasis on statistical and computational machine learning. The common thread throughout my research is the interplay between mathematical theories and real world problems.
Julia Chuzhoy Julia Chuzhoy, Associate Professor
PhD - Technion - Israel Institute of Technology
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Research Interests: Theoretical computer science, with the main focus on the design and the analysis of approximation algorithms for computationally hard problems, and on proving lower bounds on approximability of such problems.
Lance Fortnow Lance Fortnow, Adjoint Professor
PhD - MIT
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Research Interests: Computational complexity and its applications to electronic commerce, quantum computation, bioinformatics, learning theory and cryptography.
Kevin Gimpel Kevin Gimpel, Research Assistant Professor
PhD - Carnegie Mellon University
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Research Interests: Research Interests: machine translation, statistical natural language processing, structured prediction, computational semantics, and social media analysis.
Samory Kpotufe Samory Kpotufe, Research Assistant Professor
PhD - University of California, San Diego
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Research Interests: Machine Learning, Nonparametric Statistics.
John Lafferty John Lafferty, Adjoint Professor
PhD - Princeton University
Bio
Research Interests: Machine learning, nonparametric estimation, probabilistic modeling, graphical models, text modeling.
Shi Li Shi Li, Research Assistant Professor
PhD - Princeton University
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Research Interests: Theoretical computer science. Specifically, he is interested in designing and analyzing approximation algorithms for NP-hard combinatorial problems, including facility location problems, clustering, network routing, scheduling problems, etc.
Dahua Lin Dahua Lin, Research Assistant Professor
PhD - MIT
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Research Interests: Computer Vision, Scene Modeling and Understanding, Probabilistic Inference, Bayesian Nonparametrics
Karen Livescu Karen Livescu, Assistant Professor
PhD - MIT
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Research Interests: Speech and language processing, recently focusing on speech recognition. With a particular interest in statistical modeling techniques that can take advantage of both large stores of data and knowledge from linguistics and speech science.
Subhransu Maji Subhransu Maji, Research Assistant Professor
PhD - University of California, at Berkeley
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Research Interests: Computer Vision and Machine Learning. In particular he is interested in developing scalable learning algorithms and representations for visual recognition.
Yury Makarychev Yury Makarychev, Associate Professor
PhD - Princeton University
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Research Interests: Theoretical computer science including combinatorial optimization, approximation algorithms, semi-definite programming, unique games, low-distortion metric embeddings, and lift-and-project methods.
David McAllester David McAllester, Professor, Dean, and Chief Academic Officer
PhD - MIT
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Research Interests: Machine learning theory, the theory of programming languages, automated reasoning, AI planning, computer game playing (computer chess), computational linguistics and computer vision.
Ofer Meshi Ofer Meshi, Research Assistant Professor
PhD - Hebrew University
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Research Interests: Machine learning and optimization. In particular, seeking efficient algorithms for: structured output prediction, probabilistic graphical models, model selection, statistical relational models and other related problems.
Benjamin Moseley Benjamin Moseley, Research Assistant Professor
PhD - University of Illinois Urbana-Champaign
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Research Interests: Algorithms, Online algorithms, Approximation algorithms, Scheduling, Large data analysis, Parallel computing and Algorithmic applications
Seiichi Mita Seiichi Mita, Adjoint Professor
PhD - Kyoto University
Bio
Research Interests: Digital signal processing for recording and communication channels and machine learning applications for vehicle environment recognition.
Francesco Orabona Francesco Orabona, Research Assistant Professor
PhD - University of Naples
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Research Interests: Theoretically motivated and efficient learning algorithms, with emphasis on online learning, kernel methods, and computer vision.
George Papandreou George Papandreou, Research Assistant Professor
PhD - National Technical University of Athens, Greece
Bio | Home Page
Research Interests: Computer vision, machine learning, and multimodal perception using methods from Bayesian statistics, signal processing, and applied mathematics.
Alexander Razborov Alexander Razborov, Adjoint Professor
PhD - Steklov Mathematical Institute
Bio
Research Interests: Complexity theory, and he is specifically interested in circuit complexity, proof complexity, quantum computations and communication complexity.
Yutaka Sasaki Yutaka Sasaki, Adjoint Professor
PhD - University of Tsukuba
Bio
Research Interests: Machine learning and its application to Natural Language Processing and biomedical informatics. Recent research interests include Order-Sorted Inductive Logic Programming and massively-parallel machine learning and their application to biomedical Text Mining.
Greg Shakhnarovich Greg Shakhnarovich, Assistant Professor
PhD - MIT
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Research Interests: Computational vision and machine learning. His current research is focused on automatic understanding of visual scenes, including recovery of three-dimensional structure and detection and categorization of objects. He is also generally interested in similarity-based, supervised and semi-supervised statistical learning methods.
Yang Shen Yang Shen, Research Assistant Professor
PhD - Boston University
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Research Interests: Computational molecular and systems biology, including protein docking, protein engineering, drug design, and dynamics and control of biomolecular networks.
Nathan Srebro Nathan Srebro, Associate Professor, Director of Graduate Studies
PhD - MIT
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Research Interests: Statistical and computational aspects of machine learning, and the interaction between them: statistical learning theory, probabilistic modeling, optimization. Applications in computational biology, text analysis and collaborative filtering.
Ryota Tomioka Ryota Tomioka, Research Assistant Professor
PhD - University of Tokyo
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Research Interests: Machine learning and optimization when both n and p are large. Finding mathematical structures in solid practical problems and leveraging them to develop better algorithms that can be applied more broadly.
Madhur Tulsiani Madhur Tulsiani, Assistant Professor, Interim Director of Graduate Studies 2013-14
PhD - University of California, Berkeley
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Research Interests: Complexity Theory, Approximation Algorithms and Hardness of Approximation, Convex Optimization, Pseudorandomness, Arithmetic Combinatorics
Raquel Urtasun Raquel Urtasun, Adjoint Professor
PhD - Ecole Polytechnique Federale de Lausanne
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Research Interests: Machine learning, computer vision and computer graphics. She is particularly interested in non-parametric Bayesian statistical methods, latent variable models, and their application to human motion analysis, tracking, visual scene understanding, behavior analysis and biology.
Jinbo Xu Jinbo Xu, Associate Professor
PhD - University of Waterloo
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Research Interests: Computational biology and bioinformatics including homology search, protein structure prediction, and protein interaction prediction.