Bio and CV

Tess Smidt is an Assistant Professor of Electrical Engineering and Computer Science at MIT. Tess earned her SB in Physics from MIT in 2012 and her PhD in Physics from the University of California, Berkeley in 2018. Her 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.

Full CV

Education

Ph.D. in Physics, U.C. Berkeley (2018) [Dissertation]
M.A. in Physics, U.C. Berkeley (2014)
S.B in Physics with Minor in Architecture, MIT (2012)

Research Positions

• Assistant Professor

  Department of Electrical Engineering and Computer Science, MIT
  Principal Investigator, Research Laboratory of Electronics
  (Fall 2021 - present)

• Luis W. Alvarez Postdoctoral Fellow in Computing Sciences

  Computational Chemistry, Materials, and Climate Group Computational Research Division, Berkeley Lab
  (Summer 2018 - Summer 2021)

• Software Engineering Intern

  Google Accelerated Science
  (Spring 2017 - Spring 2018)

• Graduate Research Assistant

  Neaton Group, U.C. Berkeley and Molecular Foundry @ Berkeley Lab
  (Fall 2013 - Spring 2018)
  
  Analytis Group, U.C. Berkeley
  (Spring 2012 - Spring 2013)

• Undergraduate Research Assistant

  Compact Muon Solenoid, MIT and CERN
  (Summer 2012)
  
  Conrad Group, MIT and Fermilab
  (Fall 2010 - Spring 2012)