Faculty
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David McAllester, Professor and Chief Academic Officer PhD - MIT Bio | Home Page Research Interests: Machine learning theory, the theory of programming languages, automated reasoning, AI planning, computer game playing (computer chess), computational linguistics and computer vision. |
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Umut Acar, Assistant Professor PhD - Carnegie Mellon University Bio | Home Page Research Interests: Programming languages and algorithms, and include both theory and practice. |
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Andreas Argyriou, Research Assistant Professor PhD - University College London Bio | Home Page Research Interests: Machine learning and especially in multi-task learning and kernel based methods. He is also interested in sparse methods, connections of learning with optimization and applications such as marketing and recommender systems. |
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Shai Ben-David, Professor Part Time 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. |
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Julia Chuzhoy, Assistant Professor PhD - Technion - Israel Institute of Technology Bio | Home Page 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. |
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Xinyu Feng, Research Assistant Professor PhD - Yale University Bio | Home Page Research Interests: Programming languages and formal methods. In particular, he is interested in developing theories, programming languages and tools to build formally certified system software, such as operating system kernels and libraries, with rigorous guarantees of safety and correctness properties. |
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Lance Fortnow, Adjunct Professor PhD - MIT Bio | Home Page Research Interests: Computational complexity and its applications to electronic commerce, quantum computation, bioinformatics, learning theory and cryptography. |
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Tamir Hazan, Research Assistant Professor PhD - Hebrew University Bio | Home Page Research Interests: Machine learning and computer vision, recently focusing on graphical models, primal-dual inference algorithms and beliefs propagation. He is also interested in mixture models with various divergence measures, tensor factorization and model selection, and support vector machines. |
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Benoit Hudson, Research Assistant Professor PhD - Carnegie Mellon University Bio | Home Page Research Interests: Development of scientific tools from the point of view computer science, particularly computational geometry. Most recently, he has been developing algorithms for mesh refinement. |
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Joseph Keshet, Research Assistant Professor PhD - Hebrew University Bio | Home Page Research Interests: Speech, audio and language processing, speech recognition, discriminative methods in machine learning, and large margin and kernel methods. |
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Karen Livescu, Assistant Professor PhD - MIT Bio | Home Page 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. |
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Yury Makarychev, Assistant Professor PhD - Princeton University Bio | Home Page Research Interests: Theoretical computer science including combinatorial optimization, approximation algorithms, semi-definite programming, unique games, low-distortion metric embeddings, and lift-and-project methods. |
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Devi Parikh, Research Assistant Professor PhD - Carnegie Mellon University Bio | Home Page Research Interests: Computer vision, pattern recognition and machine learning. |
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Nathan Ratliff, Research Assistant Professor PhD - Carnegie Mellon University Bio | Home Page Research Interests: Robotics and machine learning, including the specialized areas of imitation learning, structured prediction, kernel methods, convex optimization, mobile manipulation, navigational planning, LADAR segmentation, optical character recognition, grasp planning, and quadrupedal locomotion. |
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Alexander Razborov, Professor, Part Time PhD - Steklov Mathematical Institute Bio Research Interests: Complexity theory, and he is specifically interested in circuit complexity, proof complexity, quantum computations and communication complexity. |
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Anastasios Sidiropoulos, Research Assistant Professor PhD - MIT Bio | Home Page Research Interests: Computational geometry, metric embeddings, graph theory, and applications of geometry and topology in theoretical computer science. |
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Greg Shakhnarovich, Assistant Professor PhD - MIT Bio | Home Page Research Interests: Machine learning and its applications, focusing on two domains: machine vision, and brain-machine interfaces. He is especially interested in methods for semantic analysis of visual scenes, detection, recognition and categorization of objects, and in parsing and tracking complex articulated motion. He has also recently worked on computational tools for decoding cortical signals and using them to control artificial devices. |
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Sameer Sheorey, Research Assistant Professor PhD - University of Maryland Bio | Home Page Research Interests: Computer vision, machine learning and applied mathematics. |
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Stephen Smale, Professor Part Time PhD - University of Michigan Bio | Home Page Research Interests: Dynamical systems, geometry, econometrics, operational research, topology and the mathematical theory of computer science. |
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Cristian Sminchisescu, Adjunct Assistant Professor PhD - Imaging, Vision, and Robotics, INRIA, France Bio | Home Page Research Interests: Probabilistic models and non-linear optimization and sampling algorithms with applications to three-dimensional human motion analysis (reconstruction and recognition in monocular video sequences), object detection and recognition. |
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Nathan Srebro, Assistant Professor and Directory of Graduate Studies PhD - MIT Bio | Home Page 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. |
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Ambuj Tewari, Research Assistant Professor PhD - University of California, Berkeley Bio | Home Page Research Interests: Artificial intelligence and machine learning, particularly large-margin methods, reinforcement learning and online learning. |
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Raquel Urtasun, Assistant Professor PhD - Ecole Polytechnique Federal de Lausanne Bio | Home Page 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. |
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Jinbo Xu, Assistant Professor PhD - University of Waterloo Bio | Home Page Research Interests: Computational biology and bioinformatics including homology search, protein structure prediction, and protein interaction prediction. |