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 - 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 - MIT
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 - 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.
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.
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.
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.
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, 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.
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