Contact Info
Crerar 323

I am an assistant professor in the Department of Computer Science here at the University of Chicago. My research interests include biological signal acqusition, inverse problems, machine learning, heliophysics, neuroscience, and other exciting ways of exploiting scalable computation to understand the world. Previously, I was at the Berkeley Center for Computational Imaging and RISELab at UC Berkeley EECS working with Ben Recht.


Focus Areas: Chemistry, Inverse Problems, Machine Learning, Measurement

Machine learning for scientific measurement and instrumentation: I’m interested in the application of machine learning and scalable computation to systems which measure and learn about the world, including microscopy, chemical sensing, neuroscience, spectroscopy, and astronomy.


AI & Machine Learning

Foundations and applications of computer algorithms making data-centric models, predictions, and decisions

Data & Databases

Systems and algorithms for managing and analyzing data at scale

Scientific & High Performance Computing

Scientific discovery at the frontiers of computational performance, intelligence, and scale

Labs & Groups

Machine Learning Group

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

News & Events

UChicago CS News

New EAGER Grant to Asst. Prof. Eric Jonas Will Explore ML for Quantum Spectrometry

Mar 03, 2023
UChicago CS News

DSI Discovery Challenge Awardees Train Data Science on Medicine, Clean Water, and Education

Apr 09, 2021
Past Event

CDAC Rising Stars in Data Science Workshop

Jan 11, 2021
UChicago CS News

New AI + Science Grants Fund Projects & Workshops in Chemistry, Physics, and CS Education

May 12, 2020
Past Event

Samory Kpotufe (Columbia) – Some Recent Insights on Transfer Learning

Mar 13, 2020
Past Event

Bryon Aragam (UChicago Booth) – A General Framework for Learning DAGs with NO TEARS

UChicago CS/TTIC Machine Learning Seminar Series
Feb 14, 2020
UChicago CS News

NeurIPS Paper by Asst. Prof. Eric Jonas Delegates Spectroscopy to the Machines

Feb 04, 2020
Past Event

Rina Foygel Barber (UChicago) – Predictive inference with the jackknife+

Jan 17, 2020
Past Event

Mina Karzand (UW-Madison) – Focused Learning in Tree-Structured Graphical Models

Jan 10, 2020
UChicago CS News

New Asst. Prof. Eric Jonas Brings Machine Learning to Scientific Measurement

Aug 07, 2019
UChicago CS News

Eight New Faculty Members Join UChicago CS for 2019-20 Academic Year

Jul 15, 2019
Past Event

Eric Jonas (Berkeley) – Exploiting Computational Scale for Richer Model-Based Inference

Feb 04, 2019
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