PhD - MIT
Research Interests: Theoretical Computer Science and Machine Learning, including Machine Learning Theory, Approximation Algorithms, Algorithmic Game Theory, and Database Privacy, as well as connections among them.
PhD - Princeton University
Research Interests: Higher-order methods for machine learning, convex and non-convex optimization, online learning.
PhD - Technion - Israel Institute of Technology
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.
PhD - Carnegie Mellon University
Research Interests: natural language processing, especially paraphrase recognition, machine comprehension, knowledge representation, and narrative understanding.
PhD - Carnegie Mellon University
Research Interests: Machine Learning, Natural Language Processing, Probabilistic modeling of structured data, and problems in Digital Humanities like Computational Bibliography
PhD - MIT
Research Interests: Speech and language processing, and related problems in machine learning
PhD - Princeton University
Research Interests: Theoretical computer science including combinatorial optimization, approximation algorithms, semi-definite programming, unique games, low-distortion metric embeddings, and lift-and-project methods.
PhD - MIT
Research Interests: Machine learning theory, the theory of programming languages, automated reasoning, AI planning, computer game playing (computer chess), computational linguistics and computer vision.
PhD - Johns Hopkins University
Research Interests: Machine learning, neural probabilistic modeling, time series, natural language processing
PhD - University of Illinois at Chicago
Research Interests: Computational biology and bioinformatics, with a particular emphasis on developing interpretable machine learning methods for clinical and molecular datasets. He is particularly interested in the role of the microbiome in disease-related metabolic and immunological dysregulations.
PhD - University of Maryland
Research Interests: Approximation algorithms and algorithmic game theory.
PhD - MIT
Bio | Home Page | Research Highlight
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.
PhD - MIT
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.
PhD - UC Berkeley
Research Interests: Reinforcement learning, learning from demonstrations, meta learning, causal inference.
PhD - University of California, Berkeley
Research Interests: Complexity Theory, Approximation Algorithms and Hardness of Approximation, Convex Optimization, Pseudorandomness, Arithmetic Combinatorics
PhD - MIT
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.
PhD - University of California, Los Angeles
Research Interests: Machine learning, privacy-preserving machine learning, nonconvex optimization
PhD - University of Illinois, Urbana-Champaign
Research Interests: Machine Learning and Computer Vision
PhD - University of California, San Diego
Research Interests: Computational biology, with a focus on interpretable machine learning methods based on biological networks and ontologies. Applications to cancer-microbiome interactions and clinical datasets.
Professor, University of Illinois at Urbana-Champaign
PhD - Balliol College, Oxford
Research Interests: Artificial Intelligence, Computer vision, Computer graphics, Machine learning.
Professor, University of Pennsylvania
PhD - Stanford University
Research Interests: Approximation algorithms, combinatorial optimization, and sublinear algorithms
Professor, University of Illinois at Urbana-Champaign
PhD - University of Illinois at Urbana-Champaign
Research Interests: Computer vision, including scene understanding, joint modeling of images and text, large-scale photo collections, and machine learning techniques for visual recognition problems.
Professor and Frederick G. Storey Chair (emeritus), Georgia Institute of Technology
PhD - Carnegie Mellon University
Research Interests: Theoretical Computer Science
Professor, University of Wisconsin-Madison
PhD - University of Wisconsin-Madison
Research Interests: Signal processing, machine learning, optimization, and statistics.
Professor, University of Chicago
PhD - Steklov Mathematical Institute
Research Interests: Complexity theory, and he is specifically interested in circuit complexity, proof complexity, quantum computations and communication complexity.
Professor, TTI-Japan
PhD - University of Tsukuba
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.
Professor, TTI-Japan
PhD - Kyoto University
Research Interests: Computer Vision, Pattern Recognition, Machine Learning, Computer Graphics, Human Sensing and Modeling, Robotics
Professor, University of Wisconsin-Madison
PhD - University of Queensland
Research Interests: Numerical Optimization
George and Elizabeth Yovovich Professor, Departments of Computer Science and Mathematics, University of Chicago
PhD - Hungarian Acad. Sci., Budapest
Research Interests: Complexity theory, algorithms, combinatorics, asymptotic group theory, and the many interactions among these fields, including problems of “pure mathematics” motivated by questions in the theory of computing.
Assistant Professor, University of Chicago
PhD - University of Maryland, College Park
Research Interests: Natural language processing and computational psycholinguistics, with focus on processing and representation of meaning.
Liew Family Chair of Computer Science, University of Chicago
PhD - University of Wisconsin
Research Interests: Databases, Systems, Big Data
Assistant Professor of Computer Science at the University of Chicago
PhD - Tel Aviv University
Research Interests: Building artificial intelligence for 3D data, spanning the fields of computer graphics, machine learning, and computer vision.
Associate Professor of Econometrics and Statistics, Booth School of Business, University of Chicago
PhD - Carnegie Mellon University
Research Interests: High-dimensional statistical methods, graphical models, varying-coefficient models and data mining, driven by the need to uncover interesting and scientifically meaningful structures from observational data.
Assistant Professor, Departments of Computer Science and Statistics, University of Chicago
PhD - Columbia University
Research Interests: Machine learning and computational harmonic analysis
Assistant Professor, Department of Computer Science, University of Chicago
PhD - University of California, Berkeley
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.
Assistant Professor of Operations Management at the University of Chicago Booth School of Business
PhD - Cornell University
Research Interests: Online algorithms and learning in markets and platforms, Algorithmic mechanism design and game theory, Algorithmic aspects of machine learning in operations research
Assistant Professor, University of Chicago
PhD - MIT
Research Interests: Computational complexity and discrete math. My current research focus is on the sum of squares hierarchy.
Professor and Director of Graduate Studies, Department of Computer Science, University of Chicago
PhD - Cornell University
Research Interests: Computational complexity, including machine-based complexity, communication complexity, models of parallel computation, distributed computation, algorithms, as well as problems inspired by the world wide web
Assistant Professor, University of Chicago
PhD - Cornell University
Research Interests: Human-centered machine learning, natural language processing, and computational social science
Professor, Departments of Statistics and Computer Science, University of Chicago
PhD - Rice University
Research Interests: Signal processing, machine learning, and large-scale data science