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 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.
PhD - MIT
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.
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 - Columbia University
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.
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.
(Arriving Fall 2018!)
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.
PhD - Stanford University
Research Interests: Approximation algorithms, combinatorial optimization, and sublinear algorithms
Professor, University of Pennsylvania
PhD - Harvard University
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.
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.
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