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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.
Stefan Canzar Stefan Canzar, Research Assistant Professor
PhD - Saarland Universtiy
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Research Interests: Computational biology, combinatorial optimization. My current research focuses on the algorithmic analysis of high-throughput sequencing data to study, for instance, alternative splicing, RNA-protein binding, and genetic variants.
Ayan Chakrabarti Ayan Chakrabarti, Research Assistant Professor
PhD - Harvard University
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Research Interests: Computer vision and computational photography. With a particular interest in inference with statistical models for physical scene properties, mid-level representations for information extracted from low-level visual cues that can be combined with global and top-down reasoning, and the co-design of optical sensors with reconstruction algorithms.
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.
Qixing Huang Qixing Huang, Research Assistant Professor
PhD - Stanford University
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Research Interests: 3D Computer Vision, Data-Driven Geometry Processing, Geographical Information System, Convex Optimization and Applied Machine Learning.
Aly Khan Aly Khan, Research Assistant Professor
PhD - Cornell University
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Research Interests: Computational biology and machine learning, focusing on host-pathogen interactions, tumor immunology, gene regulatory networks, and human genetics.
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.
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.
Mehrdad Mahdavi Mehrdad Mahdavi, Research Assistant Professor
PhD - Michigan State University
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Research Interests: Machine Learning, Convex Optimization, Online and Statistical Learning Theory
Michael Maire Michael Maire, Research Assistant Professor
PhD - University of California, Berkeley
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Research Interests: Computer vision and machine learning. His research is centered around the development of algorithms for understanding visual scenes, with emphasis on the problems of object detection and segmentation.
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.
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.
Hammad Naveed Hammad Naveed, Research Assistant Professor
PhD - University of Illinois at Chicago
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Research Interests: Computational structural biology including computational identification of novel drug targets, drug repositioning, biophysical modelling of tissues and computational characterisation of membrane proteins.
George Papandreou George Papandreou, Research Assistant Professor
PhD - National Technical University of Athens, Greece
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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
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, Director of Graduate Studies
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.
Matthew Walter Matthew Walter, Assistant Professor
PhD - MIT
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Research Interests: Robotics, computer vision, natural language understanding, machine learning, and state estimation. His research focuses on probabilistic methods that enable robots to understand and operate within unstructured environments through multimodal perception and interaction, both with humans and their surroundings.
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.