TTIC Faculty

Faculty

	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.
	Dhruv Batra, Research Assistant Professor PhD - Carnegie Mellon University Bio \| Home Page Research Interests: Computer Vision, Machine Learning, Discrete Optimization. Parameter Learning and Inference algorithms for Graphical Models.
	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, 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.
	Lance Fortnow, Adjoint Professor PhD - MIT Bio \| Home Page Research Interests: Computational complexity and its applications to electronic commerce, quantum computation, bioinformatics, learning theory and cryptography.
	Michel Galley, Adjoint Professor PhD - Columbia University Bio \| Home Page Research Interests: Statistical approaches to natural language understanding and generation, with a particular interest in structured prediction problems. Research primarily applied to machine translation and summarization.
	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.
	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.
	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.
	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.
	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.
	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, Research Assistant Professor PhD - University of Naples Bio \| Home Page Research Interests: Theoretically motivated and efficient learning algorithms, with emphasis on online learning, kernel methods, and computer vision.
	Devi Parikh, Research Assistant Professor PhD - Carnegie Mellon University Bio \| Home Page Research Interests: Computer vision, pattern recognition and machine learning.
	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.
	Anand Sarwate, Research Assistant Professor PhD - University of California, Berkeley Bio \| Home Page Research Interests: Information theory, privacy, distributed signal processing, inference, medical informatics, social networks
	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, Assistant Professor PhD - MIT Bio \| Home Page 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, Research Assistant Professor PhD - Boston University Bio \| Home Page Research Interests: Computational molecular and systems biology, including protein docking, protein engineering, drug design, and dynamics and control of biomolecular networks.
	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.
	Stephen Smale, Adjoint Professor PhD - University of Michigan Bio \| Home Page Research Interests: Dynamical systems, geometry, econometrics, operational research, topology and the mathematical theory of computer science.
	Nathan Srebro, Associate Professor, Director 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.
	Madhur Tulsiani, Assistant Professor PhD - University of California, Berkeley Bio \| Home Page Research Interests: Complexity Theory, Approximation Algorithms and Hardness of Approximation, Convex Optimization, Pseudorandomness, Arithmetic Combinatorics
	Raquel Urtasun, Assistant Professor PhD - Ecole Polytechnique Federale 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.
	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.

	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.
	Dhruv Batra, Research Assistant Professor PhD - Carnegie Mellon University Bio \| Home Page Research Interests: Computer Vision, Machine Learning, Discrete Optimization. Parameter Learning and Inference algorithms for Graphical Models.
	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, 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.
	Lance Fortnow, Adjoint Professor PhD - MIT Bio \| Home Page Research Interests: Computational complexity and its applications to electronic commerce, quantum computation, bioinformatics, learning theory and cryptography.
	Michel Galley, Adjoint Professor PhD - Columbia University Bio \| Home Page Research Interests: Statistical approaches to natural language understanding and generation, with a particular interest in structured prediction problems. Research primarily applied to machine translation and summarization.
	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.
	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.
	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.
	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.
	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.
	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, Research Assistant Professor PhD - University of Naples Bio \| Home Page Research Interests: Theoretically motivated and efficient learning algorithms, with emphasis on online learning, kernel methods, and computer vision.
	Devi Parikh, Research Assistant Professor PhD - Carnegie Mellon University Bio \| Home Page Research Interests: Computer vision, pattern recognition and machine learning.
	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.
	Anand Sarwate, Research Assistant Professor PhD - University of California, Berkeley Bio \| Home Page Research Interests: Information theory, privacy, distributed signal processing, inference, medical informatics, social networks
	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, Assistant Professor PhD - MIT Bio \| Home Page 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, Research Assistant Professor PhD - Boston University Bio \| Home Page Research Interests: Computational molecular and systems biology, including protein docking, protein engineering, drug design, and dynamics and control of biomolecular networks.
	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.
	Stephen Smale, Adjoint Professor PhD - University of Michigan Bio \| Home Page Research Interests: Dynamical systems, geometry, econometrics, operational research, topology and the mathematical theory of computer science.
	Nathan Srebro, Associate Professor, Director 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.
	Madhur Tulsiani, Assistant Professor PhD - University of California, Berkeley Bio \| Home Page Research Interests: Complexity Theory, Approximation Algorithms and Hardness of Approximation, Convex Optimization, Pseudorandomness, Arithmetic Combinatorics
	Raquel Urtasun, Assistant Professor PhD - Ecole Polytechnique Federale 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.
	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.

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Faculty