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.

Srinadh Bhojanapalli

Research Assistant Professor

PhD - The University of Texas at Austin

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Research Interests: Algorithms for large scale machine learning problems with statistical guarantees, Matrix and Tensor factorization, Optimization and Sublinear time algorithms.

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

Associate Professor

PhD - Technion - Israel Institute of Technology

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Research Interests: Theoretical computer science, with the main emphasis on the design and the analysis of approximation algorithms and proving hardness of approximation bounds for NP-hard problems, especially those with strong connections to graph theory.

David Forsyth

Adjoint Professor

PhD - Balliol College, Oxford

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Research Interests: Artificial Intelligence, Computer vision, Computer graphics, Machine learning.

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

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.

Suriya Gunasekar

Research Assistant Professor

PhD - The University of Texas at Austin

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Research Interests: Machine learning in high dimensional settings, ranking, constrained optimization, healthcare analytics.

Mark Hallen

Research Assistant Professor

PhD - Duke University

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Research Interests: Computational protein and drug design, computational structural biology, machine learning, combinatorial optimization.

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

Adjoint Professor

PhD - Princeton University

Bio

Research Interests: Machine learning, nonparametric estimation, probabilistic modeling, graphical models, text modeling.

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.

Liang Lu

Research Assistant Professor

PhD - University of Edinburgh

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Research Interests: Deep learning for speech and language processing, with particular interest in end-to-end speech recognition, small-footprint models, multilingual speech recognition and neural language models.

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

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

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.

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

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.

Robert Nowak

Adjoint Professor

PhD - University of Wisconsin-Madison

Bio

Research Interests: Signal processing, machine learning, optimization, and statistics.

Mesrob Ohannessian

Research Assistant Professor

PhD - MIT

Bio

Research Interests: Machine learning, statistics, and information theory, with focus on data scarcity. Forecasting and compression under rare events and using such methods to regularize learning tasks. Applications to modeling natural language, climate extremes, and rare societal events. Statistical and computational tradeoffs using coresets and sketching.

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.

Dan Roth

Adjoint Professor

PhD - Harvard University

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Research Interests: Machine learning , natural language understanding. My research focuses on the computational foundations of intelligent behavior. We develop theories and systems pertaining to intelligent behavior using a unified methodology -- at the heart of which is the idea that learning has a central role in intelligence.

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

Associate 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.

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.

Li-Yang Tan

Research Assistant Professor

PhD - Columbia University

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Research Interests: Theoretical computer science, with an emphasis on computational complexity. Specific interests include concrete complexity, the analysis of Boolean functions, property testing, and computational learning theory.

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

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.

Stephen Wright

Adjoint Professor

PhD - University of Queensland

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Research Interests: Numerical Optimization

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.