About me
I am a Research Engineer at Tsinghua AIR, mentored by Professor Yanyan Lan. My focus is on AI for Drug Discovery, particularly deep learning models for small molecule and protein representation and generation.
Previously, I worked as a Machine Learning Engineer at Bytedance(June 2021 - Sep 2022), specializing in Recommendation Systems. My academic credentials include a Bachelor’s in Computer Engineering from the University of Toronto (2019) and a Master’s in Electrical Engineering from Caltech (2021).
Education
- M.S. in Electrical Engineering, Caltech, 2019 - 2021
- B.S. in Computer Engineering, University of Toronto, 2014- 2019
Work experience
- 2022.09 - Present: Research Engineer
- Tsinghua University
- Worked on AI for Drug Discovery
- 2021.07 - 2022.09: Machine Learning Engineer
- Bytedance
- Worked on Recommendation System for Douyin, Tiktok
Publications
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao, Minsi Ren, Yuyan Ni, Yanwen Huang, Bo Qiang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan
ICML, 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Weiying Ma, Zhiming Ma, Yanyan Lan
ICLR, 2024Delta Score: Improving the Binding Assessment of Structure-Based Drug Design Methods
Minsi Ren, Bowen Gao, Bo Qiang, Yanyan Lan
NeurIPS GenBio workshop, 2023DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan
NeurIPS, 2023Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Weiying Ma, Yanyan Lan
ICML, 2023cancerAlign: Stratifying tumors by unsupervised alignment across cancer types
Bowen Gao, Yunan Luo, Jianzhu Ma, Sheng Wang
Preprint, 2020