Jae Hyeon Lee

Researcher, Facebook

Joined

July 2025

Names

Jae Hyeon Lee (Preferred)

Emails

****@gene.com (Confirmed)

****@gmail.com (Confirmed)

****@meta.com (Confirmed)

Personal Links

Homepage

Career & Education History

Researcher

Facebook (meta.com)

2025 – Present

Researcher

Prescient Design, Genentech (gene.com)

2021 – 2025

PhD student

Harvard University (harvard.edu)

2013 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

SurfProp: A surface-based property prediction framework for antibody developability and screening
Pranav Rao, Henry Isaacson, Jennifer L. Hofmann, Darcy Davidson, Amy Wang, Andrew Martin Watkins, Richard Bonneau, Saeed Izadi, Jae Hyeon Lee
- GenBio 2025 Poster
- Readers: Everyone
Ibex: Pan-immunoglobulin structure prediction
Frederic A Dreyer, Karolis Martinkus, Jan Ludwiczak, Brennan Abanades, Robert G Alberstein, Pranav Rao, Jae Hyeon Lee, Richard Bonneau, Andrew Martin Watkins, Franziska Seeger
- GenBio 2025 Poster
- Readers: Everyone
Guided Generation of B-cell Receptors with Conditional Walk-Jump Sampling
Taylor Joren, Sarah A Robinson, Homa MohammadiPeyhani, Sai Pooja Mahajan, Edith Lee, Stephen Lillington, Qixin Bei, Saeed Saremi, Jae Hyeon Lee, Richard Bonneau, Isidro Hotzel, Vladimir Gligorijevic, Simon Kelow, Nathan C. Frey
- ICLR 2025 Workshop LMRL
- Readers: Everyone
Guided Generation of B-cell Receptors with Conditional Walk-Jump Sampling
Taylor Joren, Sarah A Robinson, Homa MohammadiPeyhani, Sai Pooja Mahajan, Edith Lee, Stephen Lillington, Qixin Bei, Saeed Saremi, Jae Hyeon Lee, Richard Bonneau, Isidro Hotzel, Vladimir Gligorijevic, Simon Kelow, Nathan C. Frey
- GEM
- Readers: Everyone
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models
Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew Martin Watkins
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
Blind Biological Sequence Denoising with Self-Supervised Set Learning
Nathan Hoyen Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
- Accepted by TMLR
- Readers: Everyone
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew Martin Watkins
- Published: 06 Mar 2023, Last Modified: 15 Feb 2026
- ICLR 2023 - MLDD Poster
- Readers: Everyone
Multi-Segment Preserving Sampling for Deep Manifold Sampler
Dan Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew Watkins, Richard Bonneau, Vladimir Gligorijevic, Stephen Ra, Kyunghyun Cho
- Published: 05 Apr 2022, Last Modified: 05 May 2023
- MLDD Oral
- Readers: Everyone

Co-Authors

View all 36 co-authors