Scholar
Tony Shen
Google Scholar ID: xwTIMCAAAAAJ
SFU, Broad Institute of MIT and Harvard
Citations & Impact
Citations
38
H-index
3
i10-index
2
Publications
3
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Compositional Flows for 3D Molecule and Synthesis Pathway Co-design' accepted at ICML 2025; 'Generative Flows on Synthetic Pathway for Drug Design' accepted at ICLR 2025; 'TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design' accepted at TMLR.
Research Experience
- Currently a visiting researcher at Northeastern University and Broad Institute of MIT and Harvard, working on foundation models for bio-molecular generation and antibiotics discovery applications under the supervision of Dr. Wengong Jin; Previously worked as a Machine Learning Consultant at Transcripta Bio, conducting experiments on generative models and large scale virtual screening; Interned at Recursion, developing the map of Biology and Google, working on AI models for search.
Education
- PhD student in Computing Science at Simon Fraser University, supervised by Dr. Martin Ester.
Background
- Research Interests: Structure-based drug design, Generative Flow Networks, Flow Matching and Diffusion Models. Field of expertise: AI for Drug Discovery.
