Summary
Alex Pan is a computational biologist and data scientist with 9 years of experience and 6+ years focused on NGS and single-cell analysis across academic and industry settings, including roles at Moderna, Biogen, and N‑Power Medicine. He models RNA‑seq, epigenetic, and V(D)J data and brings practical expertise in applying machine learning and rigorous statistical design to biological questions. Trained in physics (BS) and computer science (MS), he bridges quantitative modeling and experimental insight to prioritize reproducibility and robust pipelines. Known for navigating discovery‑based and hypothesis‑driven projects, he delivers interpretable, production-ready analyses that inform translational decision‑making.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at The Ohio State University