Summary
Troy Yang is a data engineer with 8 years of experience building production data, BI, and ML systems across healthcare and life sciences startups and research institutions. Currently at GenHealth.ai, he helps train and deploy large-scale transformer models on patient claims and clinical data to power digital twins and predictive healthcare workflows. His background blends hands-on ETL, data warehousing, and machine learning engineering from roles at Boston Children’s Hospital, Deepcell, and DignifiHealth, giving him a rare combination of clinical-domain expertise and applied ML experience. Troy holds a CS MS from Georgia Tech and a BS in Data Science from Northeastern, and he often operates at the intersection of product and engineering—previously shipping both engineering and product features at iSpecimen. Colleagues describe him as fluent “in all things data,” able to translate complex healthcare problems into scalable data-driven solutions.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, 3.9/4.0, Master of Science - MS, Computer Science, 3.9/4.0 at Georgia Institute of Technology
Bachelor of Science - BS, Data Science, 3.8/4.0, Bachelor of Science - BS, Data Science, 3.8/4.0 at Northeastern University
4.0/4.0, 4.0/4.0 at ACT - American College of Thessaloniki
English, Chinese