Labs & Groups

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

Working to make the Internet more trustworthy and inclusive, drawing on human-computer interaction, usable privacy and security, ubiquitous computing, and...

Designing shape-changing and reconfigurable technologies that invite people to actively engage and interact with a computationally-enhanced physical world.

Researching innovations in computational thinking education with an emphasis on equity and inclusion for all underrepresented populations.

A research center developing the discipline of translational data science and applying to advance biology, medicine, healthcare and environmental research.

A dynamic community focused on reducing the fragility and complexity of computing systems, while also increasing their efficiency and lifetime.

A configurable experimental environment for large-scale edge to cloud research.

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

Conducting research on all things data, including large-scale video analysis, efficient data processing systems, and the economics of data.

A multi-disciplinary, multi-institutional NSF Expedition in Computing, led by UChicago, that spans quantum algorithms, software, and physical machines.

Realizing a world in which all research data are reliably, rapidly, and securely accessible, discoverable, and usable.

Engineering interactive devices that integrate directly with the user’s body as the natural succession to wearable interfaces.

Developing robots that help people by engaging them in intelligent, intuitive, and purposeful social interactions.

Exploring critical systems research questions underlying sustainable, scalable large-scale systems, including cloud, high performance, edge, and mobile/IoT computing.

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

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

Designing simple, efficient algorithms for foundational computational challenges arising in a variety of applications.

Interested in all aspects of programming language design and implementation, ranging from theoretical foundations to practical applications.

SAND Lab spans research topics in security, machine learning, networked systems, HCI, data mining and modeling.

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

Focused on data-driven methods to improve online security and privacy and improving interaction for IoT and machine learning systems.

A vibrant, collaborative research community with diverse, synergistic research interests spanning systems, programming languages and software engineering, software and hardware...

The Theory group plays a fundamental role in connecting CS with physics, statistics, and other mathematical sciences.

Improving the dependability of storage and cloud-scale distributed systems in the context of performance stability, reliability, and scalability.

Exploring efficient, intelligent, secure, and robust computer architectures and systems.