Yaoqi Zhou

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About

Yaoqi Zhou is a pioneering computational biologist whose research bridges artificial intelligence, protein science, and medicine. His key contributions lie in developing AI-driven methods for protein structure prediction, folding, and design, as well as advancing machine learning applications in drug discovery and biomedical research. Zhou is perhaps best known for creating some of the earliest and most influential deep-learning approaches for protein contact prediction and structure modeling, which have fundamentally shaped the field. His work has earned over 30,000 citations, reflecting its profound impact on both computational biology and AI in medicine. Notably, his recent perspective "Artificial intelligence for medicine 2025: Navigating the endless frontier" (2025, 21 citations) outlines the transformative potential of AI in integrating clinical and multi-omics data. Zhou has received numerous accolades, including being named a Fellow of the American Association for the Advancement of Science (AAAS) and the American Institute for Medical and Biological Engineering (AIMBE). His research continues to push boundaries, making him a leading voice at the intersection of AI, protein science, and precision medicine.