Summary
Chaolin Zhang is a professor and lab leader at Columbia University with 13+ years of experience translating quantitative molecular biology into insights on RNA regulation and neurodevelopment. Trained as an engineer-turned-biologist (B.E. in Automation, Ph.D. in Computational Biology), he combines high-throughput biochemistry, genomics and computational methods to map protein–RNA interactions at single-nucleotide resolution and define neuronal splicing networks. His work has driven key advances in understanding RNA-binding protein specificity and the functional consequences of alternative splicing in the nervous system, with influential publications in Science, Nature Biotechnology and Molecular Cell. He co-founded Dayi Therapeutics and advises biotech firms, bridging academic discovery with precision-medicine development for neurologic disorders. A recipient of NIH K99/R00 and R35 MIRA awards and a Brain Research Foundation Scientific Innovations Award, he operates at the interface of technology, computation and neuroscience. Less obvious: his background in automation and computational training underpins a distinctive emphasis on quantitative, scalable assays that enable genome-wide, mechanistic interpretation of RNA regulatory logic.
13 years of coding experience
11 years of employment as a software developer
Ph.D. Computational Biology, Ph.D. Computational Biology at Cold Spring Harbor Laboratory/SUNYSB
B.E. Automation, B.E. Automation at Tsinghua University