Faculty

Research Interests: Computer vision and human-computer interaction

Sam Buchanan

Research Assistant Professor

PhD - Columbia University

Research Interests: High-dimensional data analysis, signal processing, optimization, deep learning

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.

Julia Chuzhoy

Professor

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.

Lee Cohen

Research Assistant Professor

PhD - Tel Aviv University

Research Interests: Machine learning theory, with a particular interest in problems that relate to societal challenges.

Kevin Gimpel

Assistant Professor

PhD - Carnegie Mellon University

Research Interests: natural language processing, especially paraphrase recognition, machine comprehension, knowledge representation, and narrative understanding.

Kartik Goyal

Research Assistant Professor

PhD - Carnegie Mellon University

Research Interests: Machine Learning, Natural Language Processing, Probabilistic modeling of structured data, and problems in Digital Humanities like Computational Bibliography

Karen Livescu

Professor

PhD - MIT

Research Interests: Speech and language processing, and related problems in machine learning

Yury Makarychev

Professor

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.

David McAllester

Professor

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.

Hongyuan Mei

Research Assistant Professor

PhD - Johns Hopkins University

Research Interests: Machine learning, neural probabilistic modeling, time series, natural language processing

Derek Reiman

Research Assistant Professor

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.

Greg Shakhnarovich

Professor

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.

Saeed Sharifi-Malvajerdi

Research Assistant Professor

PhD - University of Pennsylvania

Research Interests: Machine learning with ethical and societal constraints. More precisely: Algorithmic Fairness, Privacy-preserving Data Analysis, Machine Unlearning (Data Deletion), Adaptive Data Analysis, Learning Theory, Algorithmic Game Theory.

Nathan Srebro

Professor

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.

Ohad Trabelsi

Research Assistant Professor

PhD - Weizmann Institute

Research Interests: Fine-Grained Complexity and Design of Algorithms, focusing on classic problems such as Max-Flow.

Madhur Tulsiani

Associate Professor, Director of Graduate Studies

PhD - University of California, Berkeley

Research Interests: Complexity Theory, Approximation Algorithms and Hardness of Approximation, Convex Optimization, Pseudorandomness, Arithmetic Combinatorics.

Ali Vakilian

Research Assistant Professor

PhD - MIT

Research Interests: Design and Analysis Algorithms for Massive Data, Learning Based (aka Data Driven) Algorithm Design and Algorithmic Fairness.

Matthew Walter

Assistant Professor

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.

Lingxiao Wang

Research Assistant Professor

PhD - University of California, Los Angeles

Research Interests: Machine learning, privacy-preserving machine learning, nonconvex optimization

Jinbo Xu

Professor

PhD - University of Waterloo

Research Interests: Computational biology and bioinformatics including homology search, protein structure prediction, and protein interaction prediction.

Visiting Faculty

Aadirupa Saha

Visiting Scientist

PhD - IISc Bangalore

Research Interests: Machine Learning Theory (specifically Online Learning, Bandits, Reinforcement Learning), Optimization, Game Theory, Algorithms. She is recently interested in exploring ML problems at the intersection of Fairness, Privacy, Game theory and Mechanism design.

Adjoint Faculty

David Forsyth

Adjoint Professor

Professor, University of Illinois at Urbana-Champaign

PhD - Balliol College, Oxford

Research Interests: Artificial Intelligence, Computer vision, Computer graphics, Machine learning.

Sanjeev Khanna

Adjoint Professor

Professor, University of Pennsylvania

PhD - Stanford University

Research Interests: Approximation algorithms, combinatorial optimization, and sublinear algorithms

Svetlana Lazebnik

Adjoint Professor

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.

Richard Lipton

Adjoint Professor

Professor and Frederick G. Storey Chair (emeritus), Georgia Institute of Technology

PhD - Carnegie Mellon University

Blog

Research Interests: Theoretical Computer Science

Robert Nowak

Adjoint Professor

Professor, University of Wisconsin-Madison

PhD - University of Wisconsin-Madison

Research Interests: Signal processing, machine learning, optimization, and statistics.

Alexander Razborov

Resident Adjoint Professor

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.

Yutaka Sasaki

Adjoint Professor

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.

Norimichi Ukita

Adjoint Professor

Professor, TTI-Japan

PhD - Kyoto University

Research Interests: Computer Vision, Pattern Recognition, Machine Learning, Computer Graphics, Human Sensing and Modeling, Robotics

Stephen Wright

Adjoint Professor

Professor, University of Wisconsin-Madison

PhD - University of Queensland

Research Interests: Numerical Optimization

Courtesy Faculty

László Babai

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.

Allyson Ettinger

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.

Michael Franklin

Liew Family Chair of Computer Science, University of Chicago

PhD - University of Wisconsin

Research Interests: Databases, Systems, Big Data

Rana Hanocka

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.

Mladen Kolar

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.

Risi Kondor

Assistant Professor, Departments of Computer Science and Statistics, University of Chicago

PhD - Columbia University

Research Interests: Machine learning and computational harmonic analysis

Michael Maire

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.

Rad Niazadeh

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

Aaron Potechin

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.

Janos Simon

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

Chenhao Tan

Assistant Professor, University of Chicago

PhD - Cornell University

Research Interests: Human-centered machine learning, natural language processing, and computational social science

Rebecca Willett

Professor, Departments of Statistics and Computer Science, University of Chicago

PhD - Rice University