Summary
Tay Shin is a biotech-focused founder and computational scientist with nine years of experience at the intersection of machine learning, synthetic neurobiology, and translational drug delivery. Currently co-founding a stealth startup to enable in vivo cell reprogramming through programmable drug delivery, Tay previously held a J. Douglas Tan postdoctoral fellowship at MIT McGovern and completed a PhD at the MIT Media Lab working on lipid staining, expansion microscopy, hydrogels and ML-driven image analysis. Earlier work in Korea’s Ministry of National Defense produced data-driven personnel budget and suicide-risk models that delivered measurable cost savings and materially improved predictive performance. An NSF Graduate Research Fellow with a statistics BA from UC Berkeley, Tay blends rigorous quantitative modeling with hands-on wet-lab and materials experience—a combination that helps translate complex biological problems into deployable, predictive systems. Notably, Tay’s career moves reflect a pattern of applying advanced ML to high-stakes, real-world decisions rather than purely academic problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Arts (B.A.) Statistic, Bachelor of Arts (B.A.) Statistic at University of California, Berkeley
Grad Student Media Lab (Synthetic Neurobiology Group), Grad Student Media Lab (Synthetic Neurobiology Group) at Massachusetts Institute of Technology
English, Korean