Siddharth Bhandari
Research Assistant Professor
PhD - Tata Institute of Fundamental Research
Research Interests: Coding theory, information theory, sampling algorithms, treatment effect estimation.
Anand Bhattad
Research Assistant Professor
PhD - University of Illinois Urbana-Champaign
Research Interests: Computer vision, graphics, photography and machine learning, with a focus on understanding the fundamentals of scene representations and generative models. My research aims to uncover the emergent scene properties in generative models and establish them as the backbone for modern computer vision systems. I am passionate about developing data-driven methodologies for understanding, modeling, and recreating the visual world.
Avrim Blum
Professor and Chief Academic Officer
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.
Sam Buchanan
Research Assistant Professor
PhD - Columbia University
Research Interests: High-dimensional data analysis, signal processing, optimization, deep learning
Julia Chuzhoy
Manuel Blum 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.
Shiry Ginosar
Assistant Professor
PhD - University of California, Berkeley
Research Interests: Artificial intelligence, machine learning, and computer perception, including vision, audio, and other sensory modalities. Shiry focuses on artificial social intelligence, including social learning, Human-Human, and Human-AI interaction. Her research studies natural and artificial intelligence (AI) using machine learning, psychology, and neuroscience tools.
Jungo Kasai
Research Assistant Professor (on leave)
PhD - University of Washington
Research Interests: Natural language processing, machine learning, artificial intelligence.
Zhiyuan Li
Assistant Professor
PhD - Princeton University
Research Interests: Machine learning theory, analysis of deep learning, computational and sample efficiency of optimization methods.
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
Lenore Blum 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.
Kanishka Misra
Research Assistant Professor
PhD - Purdue University
Research Interests: Computational Linguistics, Natural Language Processing, Cognitive Science, Evaluation of Language Models
Derek Reiman
Research Scientist
PhD - University of Illinois at Chicago
Bio | Room 507
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.
Liren Shan
Research Assistant Professor
PhD - Northwestern University
Research Interests: Theoretical Computer Science including Approximation Algorithms and Algorithmic Game Theory.
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.
Zhewei Sun
Research Assistant Professor
PhD - University of Toronto
Research Interests: Natural language processing, computational linguistics, machine learning for NLP, computational social science, language and cognition.
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
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.
Santhoshini Velusamy
Research Assistant Professor
PhD - Harvard University
Research Interests: Combinatorial Optimization, Approximation Algorithms, Streaming Algorithms, Algorithmic Game Theory.
Matthew Walter
Associate 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.
Jingyan Wang
Research Assistant Professor
PhD - Carnegie Mellon University
Research Interests: Learning from People, Fairness, Machine Learning, Statistics
Tianhao Wang
Research Assistant Professor
PhD - Yale University
Research Interests: High-dimensional statistics and learning, deep learning theory
Visiting Faculty
Hongyuan Mei
Senior Research Scientist at Google
PhD - Johns Hopkins University
Research Interests: Machine learning, neural probabilistic modeling, time series, natural language processing
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
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, TTIJ
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, TTIJ
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.
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.
Ari Holtzman
Assistant Professor, University of Chicago
PhD - University of Washington
Research Interests: Generative models, Predictive Interpretability, Machine Communication, Fundamental Laws of LLMs
Aly Azeem Khan
Assistant Professor, University of Chicago
PhD - Cornell University
Research Interests: Computational biology, systems immunology, and machine learning.
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.
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
Research Interests: Signal processing, machine learning, and large-scale data science
Haifeng Xu
Assistant Professor, Department of Computer Science and Data Science Institute, UChicago
PhD - University of Southern California
Research Interests: Computational Economics, Machine Learning and Algorithm Design, particularly the interplay among them as well as their applications to recommender systems and e-commerce markets
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