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 →

Enhancing Diffusion-Based Sampling with Molecular Collective Variables

Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gómez-Bombarelli, Ricky T. Q. Chen, Brandon Wood, Guan-Horng Liu, Benjamin Kurt Miller

arXiv preprint (2025)

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)
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

Journal of Physical Chemistry Letters (2025)
In Press
Preprint | 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