Summary
Yi-yuan Lee is a computational biologist and postdoctoral associate at Cornell with 11 years of interdisciplinary experience bridging wet-lab drug discovery and computational modeling. They have seven years each in hands-on experimental workflows and in silico method development, including deep learning models for natural product discovery and C++ tools for antibiotic structure prediction. A Regeneron intern who brought generative AI into antibody design and a CVG distinguished scholar, Yi-yuan combines protein biologics insight with small-molecule discovery expertise. Their work spans phosphoproteomics, kinase target identification, and animal experiments, reflecting comfort across discovery pipelines from data to bench. Notably, they founded and led NTU’s iGEM team that engineered heat-producing yeast, demonstrating early entrepreneurial and cross-disciplinary leadership. Based in Ithaca, NY, Yi-yuan brings a rare mix of experimental rigor, algorithmic skill, and practical innovation in life-science technology.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Biochemical Science and Technology, Bachelor's degree, Biochemical Science and Technology at National Taiwan University
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Cornell University
Taipei Municipal Jianguo High School
Master's degree, Computational Biology, Master's degree, Computational Biology at Carnegie Mellon University
English, Chinese, Japanese