Ruochi Zhang is an AIDD Director with a decade of hands-on experience applying machine learning and deep learning to drug discovery, leading algorithm teams from prototype to production. He holds a PhD in AI and an MS in Information Science, and has built foundational peptide and multimodal LLMs, AutoML and MLOps platforms that power end-to-end hit identification and lead optimization. At Syneron Bio and Silexon he bridged dry-wet lab teams to deliver protein–peptide interaction models, ADMET frameworks, and large-scale peptide feature serving for collaborative pipelines with pharma partners. His work combines rigorous research—published in top journals and recognized by CCF and NIH challenge awards—with practical engineering such as model compression, distributed deployment, and an AI agent (Synbrain) for natural-language algorithm integration. Based in Beijing, he also brings experience from Intel and Fermion in scalable ML systems and molecular graph representations, giving him rare fluency across algorithm research, platform engineering, and drug development. Colleagues rely on him to turn advanced computational biology methods into reproducible, deployable solutions that accelerate molecule discovery.
10 years of coding experience
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Jilin University
Master of Science - MS, big data, Master of Science - MS, big data at University of Pittsburgh
Contributions:5 commits, 4 pushes, 1 branch in 1 year 9 months
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