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Prof. Tess Smidt
Assistant Professor of Electrical Engineering and Computer Science
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
36-663
(760) 207-5707
tsmidt@mit.edu
https://blondegeek.github.io/
Areas of Interest and Expertise
Machine Learning That Incorporates Geometric and Spatial Constraints for Materials Design
Computational Chemistry
Research Summary
Professor Smidt's research focuses on machine learning that incorporates physical and geometric constraints, with applications to materials design. Prior to joining the MIT EECS faculty, she was the 2018 Alvarez Postdoctoral Fellow in Computing Sciences at Lawrence Berkeley National Laboratory and a Software Engineering Intern on the Google Accelerated Sciences team where she developed Euclidean symmetry equivariant neural networks which naturally handle 3D geometry and geometric tensor data.
Recent Work
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