Yifei Wang
Yifei Wang

Scientist, Machine Learning & Molecular Design

Biogen

About Me

Yifei Wang is a Scientist in Machine Learning & Molecular Design at Biogen, where she develops AI methods for small-molecule drug discovery. Her expertise spans virtual screening, generative molecular design, and molecular representation learning, drawing on graph neural networks, chemical language models, reinforcement learning, and efficient search methods. She has built and deployed production molecular design workflows — from billion-scale ligand-based virtual screening to synthesizable de novo design — working closely with computational chemists to turn medicinal chemistry constraints into practical ML algorithms.

Download CV
Interests
  • Deep Learning
  • AI4Science
  • AI For Drug Discovery
  • Generative AI
  • Reinforcement Learning
  • Fairness
Education
  • PhD in Computer Science

    Brandeis University

  • BS in Mathematics

    Tsinghua University

šŸ“š My Research
I am a Scientist in Machine Learning & Molecular Design at Biogen, working on AI for drug discovery. My work centers on virtual screening, generative molecular design, and molecular representation learning — building ML tools that support real small-molecule projects, from billion-scale ligand-based screening to synthesizable de novo design. I blog about my publications and recent news. I am actively collaborating with those interested in cutting-edge AI topics like AI4Science, and am always happy to assist junior students who are keen on pursuing research. Feel free to reach out via email if you’d like to collaborate or discuss research ideas. 😃
Featured Publications
Recent Publications
(2026). Machine Learning-Aided Small-Molecule Virtual Screening: Recent Advances and Future Perspectives. WIREs Comput Mol Sci.
(2026). Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization. arXiv.
(2026). Precision Grounding: Augmenting Large Language Models with Evidence-Based Databases for Trustworthy Genetic Variant Summarization. IJMI.
(2026). Interactive active learning for literature screening: finetuning GPT with DeepSeek reasoning for cross-domain generalization. JAMIA.
Recent & Upcoming Talks
Recent News

šŸŽ‰ I joined Biogen!

I’m happy to share that I’m starting a new position as Machine Learning Research Fellow at Biogen!