Modern machine learning techniques have ushered in a new era of computing. Instead of following an explicitly provided set of instructions, computers can now learn from data and subsequently make predictions. Recent approaches have unlocked new capabilities across an expanse of applications, including computer graphics, computer vision, natural language processing, recommendation engines, speech recognition, and models for understanding complex biological, physical, and computational systems.

UChicago CS studies all levels of machine learning and artificial intelligence, from theoretical foundations to applications in climate, data analysis, graphics, healthcare, networks, security, social sciences, and interdisciplinary scientific discovery. Researchers explore the next generation of learning methods, including machine teaching, human-centered AI, and applications in language, image processing, and scientific discovery. With colleagues across the UChicago campus, the department also examines the considerable societal impacts and ethical questions of AI and machine learning, to ensure that the potential benefits of these approaches are not outweighed by their risks.

Labs & Groups

Machine Learning Group

Researchers at the University of Chicago and partner institutions studying the foundations and applications of machine learning and AI.

SAND (Security, Algorithms, Networking and Data) Lab

Ben Y. Zhao, Heather Zheng
SAND Lab spans research topics in security, machine learning, networked systems, HCI, data mining and modeling.

3DL

Rana Hanocka
A computer graphics collective at UChicago pursuing innovation at the intersection of 3D and Deep Learning.

Network Operations and Internet Security (NOISE) Lab

Nick Feamster
Develops data-driven systems that derive insights from network traffic and explores how network traffic can reveal insights into human behavior.

Chicago Human + AI (CHAI) Lab

Chenhao Tan
Developing synergy between humans and artificial intelligence through a better understanding of human behavior and human interaction with AI.

Strategic IntelliGence for Machine Agents (SIGMA) Lab

Haifeng Xu
Develops cutting-edge machine learning and decision making techniques that can excel in uncertain and complex strategic environments, ranging from national...

Related Faculty

Yuxin Chen

Assistant Professor of Computer Science

Nick Feamster

Neubauer Professor of Computer Science

Michael Franklin

Morton D. Hull Distinguished Service Professor

John Goldsmith

Edward Carson Waller Distinguished Service Professor Emeritus, Departments of Computer Science and Linguistics

Robert Grossman

Frederick H. Rawson Distinguished Service Professor in Medicine, Computer Science

Rana Hanocka

Assistant Professor of Computer Science

Grant Ho

Assistant Professor of Computer Science

Henry Hoffmann

Liew Family Chair of Computer Science

Junchen Jiang

Assistant Professor of Computer Science

Risi Kondor

Associate Professor of Computer Science, Statistics

Karen Livescu

Associate Professor, Toyota Technological Institute

Michael Maire

Associate Professor of Computer Science

David McAllester

Professor, Toyota Technological Institute

Lorenzo Orecchia

Assistant Professor of Computer Science

Gregory Shakhnarovich

Professor, Toyota Technological Institute

Nathan Srebro

Professor, Toyota Technological Institute

Chenhao Tan

Assistant Professor of Computer Science, Data Science

Matthew Walter

Assistant Professor, Toyota Technological Institute

Rebecca Willett

Professor of Computer Science, Statistics
Haifeng Xu

Haifeng Xu

Assistant Professor of Computer Science, Data Science

Ben Y. Zhao

Neubauer Professor of Computer Science

Heather Zheng

Neubauer Professor of Computer Science

News & Events

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Alumni Spotlight: Dixin Tang, Assistant Professor of Computer Science at UT Austin

Feb 05, 2024
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NetMicroscope Uses AI to Improve Network Monitoring for a Better Internet Experience

Feb 01, 2024
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NeurIPS 2023 Award-winning paper by DSI Faculty Bo Li, DecodingTrust, provides a comprehensive framework for assessing trustworthiness of GPT models

Feb 01, 2024
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New research unites quantum engineering and artificial intelligence

Jan 29, 2024
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“Machine Learning Foundations Accelerate Innovation and Promote Trustworthiness” by Rebecca Willett

Jan 26, 2024
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Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao

Jan 23, 2024
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Exploring 3D Paintbrush: An AI That Colors with Words

Jan 22, 2024
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Group From UChicago CS To Present Four Papers at Most Prestigious International Quantum Conference

Jan 09, 2024
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Alumni Spotlight: Get To Know Emily Wenger, a 2023 CS Graduate Who Was Just Named To The Forbes 30 Under 30 List

Nov 29, 2023
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Three UChicago PhD Students From The Department of Computer Science Named To Forbes 30 Under 30 List

Nov 28, 2023
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High School Students In The Collegiate Scholars Program Get To Know Robots

Nov 14, 2023
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AxLab Features Multidisciplinary Works at World’s Largest Art and Technology Festival

Nov 03, 2023
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