Prof. Tess Smidt

Assistant Professor of Electrical Engineering and Computer Science

Primary DLC

Department of Electrical Engineering and Computer Science

MIT Room: 36-663

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