Juno Nam

Juno Nam

PhD Candidate, MIT DMSE & CCSE

Part-Time Student Researcher, FAIR at Meta

I am a third-year PhD student in MIT DMSE & CCSE, advised by Prof. Rafael Gómez-Bombarelli. I am also a research scientist intern on the FAIR Chemistry team at Meta.

I study how atoms move and rest, striving to turn their patterns into things built to last. Technically, I work on ML interatomic potentials, free energy methods, and generative modeling to understand and design molecules and materials.

Email
f"{first}{last}@mit.edu"
| LinkedIn | Scholar | GitHub

Selected Publications

See full publications at Google Scholar →

Flow Matching for Accelerated Simulation of Atomic Transport in Crystalline Materials

Juno Nam, Sulin Liu, Gavin Winter, KyuJung Jun, Soojung Yang, Rafael Gómez-Bombarelli

Nature Machine Intelligence (2025)
In Press
Preprint | Code

Interpolation and Differentiation of Alchemical Degrees of Freedom in Machine Learning Interatomic Potentials

Juno Nam, Jiayu Peng, Rafael Gómez-Bombarelli

Nature Communications (2025)
Preprint | Code

Transferable Learning of Reaction Pathways from Geometric Priors

Juno Nam, Miguel Steiner, Max Misterka, Soojung Yang, Avni Singhal, Rafael Gómez-Bombarelli

arXiv preprint (2025)
Code

Think while You Generate: Discrete Diffusion with Planned Denoising

Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi Jaakkola, Rafael Gómez-Bombarelli

International Conference on Learning Representations (2025)
Preprint | Code

Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation

Soojung Yang*, Juno Nam*, Johannes C. B. Dietschreit, Rafael Gómez-Bombarelli

Journal of Chemical Theory and Computation (2024)
Preprint | Code