BoRam Lee

Researcher, Modeling and Informatics, MERCK & CO., INC.

Joined

September 2023

Names

BoRam Lee (Preferred)

Emails

****@gmail.com (Confirmed)

,

****@merck.com (Confirmed)

Personal Links

Career & Education History

Researcher

Modeling and Informatics, MERCK & CO., INC. (merck.com)

2022 – Present

PhD student

Biochemistry and Molecular Biophysics, University of Chicago (uchicago.edu)

2017 – 2022

PhD student

University of Texas Southwestern Medical Center (utsw.edu)

2015 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Rama Ranganathan

2015 – 2022

Expertise

Merck

,

deep learning

2022 – Present

Publications

A Multi-Modal Deep Learning Model for Drug Potency Prediction: Leveraging Features from Physics-Based Docking and Advanced Co-Folding Methods
Claire Suen, BoRam Lee, Matthew Adrian, Jeffrey Zhou, Hyeyun Jung, David He, Gean Hu, Kelly Hui, Aditi Jain, Qamil Mirza Bin Abdullah, Milena Novakovic, Joseph Park, Winston Qian, Aarav Shah, Xina Wang, Yunsie Chung, Alan C Cheng
- NeurIPS 2025 2nd Workshop FM4LS Poster
- Readers: Everyone
A Multi-Modal Deep Learning Model for Drug Potency Prediction: Leveraging Features from Physics-Based Docking and Advanced Co-Folding Methods
Claire Suen, BoRam Lee, Matthew Adrian, Jeffrey Zhou, Hyeyun Jung, David He, Gean Hu, Kelly Hui, Aditi Jain, Qamil Mirza, Milena Novakovic, Joseph Park, Winston Qian, Aarav Shah, Xina Wang, Yunsie Chung, Alan C Cheng
- NeurIPS2025-AI4Science Poster
- Readers: Everyone
Ab-DeepGA: A generative modeling framework leveraging deep learning for antibody affinity tuning
BoRam Lee, Yara Seif, Kevin Teng, Xiao Xiao, Isha Verma, Ming-Tang Chen, Alan C Cheng
- AI4D3 2023 Poster
- Readers: Everyone

Co-Authors