Tess Smidt

Tess Smidt is an Associate Professor in the Electrical Engineering and Computer Science (EECS) department at the Massachusetts Institute of Technology. Her research interests include Artificial Intelligence + Machine Learning, Electronic, Magnetic, Optical and Quantum Materials and Devices. She is affiliated with the EECS department and can be contacted via email at tsmidt@mit.edu. Her website provides additional information about her research and academic activities. She is also involved in various departmental initiatives and events, including the Rising Stars in EECS program.

Tess Smidt is a researcher at the Massachusetts Institute of Technology with expertise in Physics, Machine Learning, and Geometry. Her work focuses on developing machine learning models that incorporate geometric and physical symmetries to improve the accuracy and efficiency of scientific simulations. She has contributed to the design of equivariant neural networks, such as e3nn and Equiformer, which are used for tasks like predicting molecular wavefunctions and interatomic potentials. Her research also includes applications in materials science, computational workflows, and quantum systems, emphasizing the integration of machine learning with physical principles.