Summary
Yi Cao is a PhD candidate in Chemical and Biomolecular Engineering at Johns Hopkins University who blends computational simulations (DFT, MD) with experimental insight to design 2D materials and thin films for energy and thermoelectric applications. With eight years of cross-disciplinary experience spanning polymer-based nanomedicine, drug-design cosolvent MD, and industry internships at Qualcomm and Boehringer Ingelheim, Yi moves fluidly between lab work and code-driven materials informatics. They’ve led an award-winning LLM+knowledge-graph team for inverse materials design and served as an invited speaker on AI/ML for predictive maintenance, signaling a rare synthesis of causal AI, materials science, and leadership. A visiting scholar at UC Berkeley and Westlake, and advisor to a gold-medal iGEM team, Yi combines rigorous academic training with practical translational impact—and, perhaps tellingly, a sweet tooth for sugar-fueled creativity.
8 years of coding experience
Visiting Scholar Biochemical Engineering, Visiting Scholar Biochemical Engineering at University of California, Berkeley
Johns Hopkins University
Bachelor of Science - BS Pharmaceutical Sciences, Bachelor of Science - BS Pharmaceutical Sciences at Fudan University
Visiting Scholar Pharmaceutics and Drug Design, Visiting Scholar Pharmaceutics and Drug Design at Westlake University