Summary
Sina Ghadermarzi is an AI/ML researcher with nine years of experience applying deep learning to bioinformatics and drug-discovery problems, currently focused on healthcare analytics at Truveta after a postdoctoral appointment at Yale Center for Infection & Immunity. He holds a PhD in Computer Science and has developed state-of-the-art models for compound–protein affinity, X-ray crystallography resolution prediction, and target discovery—work that combined transformers, GNNs, and ensemble strategies and is moving toward publication and deployment. Sina blends rigorous statistical analysis, large-scale dataset curation, and production-minded tooling (Docker, web servers) to translate research into usable pipelines. Based in Bellevue, WA, he brings uncommon domain depth across sequence-based modeling and practical model delivery for biotech applications.
9 years of coding experience
2 years of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Virginia Commonwealth University
Bachelor of Science (B.S.) Computer Engineering, Bachelor of Science (B.S.) Computer Engineering at Shahid Beheshti University
High School Diploma Mathematics and Physics, High School Diploma Mathematics and Physics at National Organization for Development of Exceptional Talents (Sampad)
Persian, Kurdish, English