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Tess Smidt
Associate Professor, Massachusetts Institute of Technology
Joined
May 2021
Names
Tess Smidt
(Preferred)
,
Tess E Smidt
,
Tess E. Smidt
Emails
****@gmail.com
(Confirmed)
,
****@lbl.gov
(Confirmed)
,
****@mit.edu
(Confirmed)
,
****@berkeley.edu
(Confirmed)
Personal Links
Homepage
DBLP
ORCID
Career & Education History
Associate Professor
Massachusetts Institute of Technology
(mit.edu)
2025
–
Present
Assistant Professor
Massachusetts Institute of Technology
(mit.edu)
2021
–
2025
Postdoc
Lawrence Berkeley National Lab
(lbl.gov)
2018
–
2021
PhD student
University of California Berkeley
(berkeley.edu)
2012
–
2018
MS student
University of California Berkeley
(berkeley.edu)
2012
–
2014
Undergrad student
Massachusetts Institute of Technology
(mit.edu)
2008
–
2012
Advisors, Relations & Conflicts
PhD Advisee
Teddy Koker
2024
–
Present
PhD Advisee
Julia Balla
2023
–
Present
PhD Advisee
Ameya Daigavane
2022
–
Present
PhD Advisee
YuQing Xie
2022
–
Present
PhD Advisee
Elyssa Hofgard
2022
–
Present
PhD Advisee
Yi-Lun Liao
2021
–
Present
PhD Advisor
Jeffrey B. Neaton
2012
–
2018
Expertise
equivariant neural networks
Present
material science
Present
chemistry
Present
physics
Present
scientific machine learning
Present
geometric deep learning
Present
Publications
Autoregressive Models Enable Efficient Conditional 3D Molecular Generation
Song Kim
,
Ameya Daigavane
,
Parthasarathy Suryanarayanan
,
Tess Smidt
GenBio 2026 Spotlight
Readers:
Everyone
Boltz-Jump: Accelerated Sampling of the Conformational Landscape of Biomolecular Structure Prediction Models
Ameya Daigavane
,
Shashank Sule
,
Saeed Saremi
,
Andrew Martin Watkins
,
Joseph Kleinhenz
,
Tess Smidt
,
Bodhi P. Vani
GenBio 2026 Spotlight
Readers:
Everyone
Accelerating Protein Molecular Dynamics Simulation with DeepJump
Allan Dos Santos Costa
,
Manvitha Ponnapati
,
Dana Rubin
,
Tess Smidt
,
JOSEPH JACOBSON
GEM 2026
Readers:
Everyone
Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics
YuQing Xie
,
Ameya Daigavane
,
Mit Kotak
,
Tess Smidt
ICML 2026 regular
Readers:
Everyone
PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials
Teddy Koker
,
Abhijeet Sadashiv Gangan
,
Mit Kotak
,
Jaime Marian
,
Tess Smidt
ICML 2026 regular
Readers:
Everyone
EquiformerV3: Scaling Efficient, Expressive and General SE(3)-Equivariant Graph Attention Transformers
Yi-Lun Liao
,
Alexander J. Hoffman
,
Sabrina C. Shen
,
Alexandre Duval
,
Sam Walton Norwood
,
Tess Smidt
Submitted to ICML 2026
Readers:
Everyone
To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking
Hannah Lawrence
,
Elyssa Hofgard
,
Vasco Portilheiro
,
Yuxuan Chen
,
Tess Smidt
,
Robin Walters
ICLR 2026 Poster
Readers:
Everyone
Matching the Optimal Denoiser in Point Cloud Diffusion with (Improved) Rotational Alignment
Ameya Daigavane
,
YuQing Xie
,
Bodhi P. Vani
,
Saeed Saremi
,
Joseph Kleinhenz
,
Tess Smidt
Submitted to ICLR 2026
Readers:
Everyone
Accelerating Protein Molecular Dynamics Simulation with DeepJump
Allan Dos Santos Costa
,
Manvitha Ponnapati
,
Dana Rubin
,
Tess Smidt
,
JOSEPH JACOBSON
NeurIPS2025-AI4Science Poster
Readers:
Everyone
Training a Foundation Model for Materials on a Budget
Teddy Koker
,
Mit Kotak
,
Tess Smidt
AI4Mat-NeurIPS-2025 Poster
Readers:
Everyone
View all 52 publications
Co-Authors
Abhijeet Sadashiv Gangan
Abhishek Das
Albert Musaelian
Alexander J. Hoffman
Alexandre Duval
Alice Gatti
Allan Dos Santos Costa
Ameya Daigavane
Andrew Martin Watkins
Andrew Scott Rosen
Benjamin Kurt Miller
Bodhi P. Vani
Boris Kozinsky
Brandon M Wood
Carolina Cuesta-Lazaro
Chen Cai
Christoph Ortner
Dana Rubin
Derek Lim
Elyssa Hofgard
Emine Kucukbenli
Esmond G. Ng
Franco Pellegrini
Frank Noe
Frank Noé
View all 95 co-authors