Peter Fan is a data and software engineer with 12 years of experience building scientific and clinical data tooling, currently supporting collaborative research data workflows at Northeastern University. He combines wet-lab origins with production engineering—rebuilding NGS pipelines at Biogen and CAMP4, and delivering a full-stack clinical LIS used by dozens of labs at Dendi—to bridge bench scientist needs and scalable cloud software. Comfortable across AWS, Docker, Snakemake and web stacks, he has optimized high-throughput sequencing pipelines, instrument integrations, and researcher-facing apps for reproducibility and accessibility. Peter also brings unusual cross-disciplinary experience as an educator and community-builder in hip-hop culture, designing curricula and coaching competitive breaking teams. A part-time Georgia Tech CS grad student engaged in web3 fintech development, he looks for projects that improve scientific data access, reproducibility, and real-world lab workflows.
12 years of coding experience
6 years of employment as a software developer
Non-Graduating Exchange Life Sciences, Non-Graduating Exchange Life Sciences at National University of Singapore
High School Diploma, High School Diploma at North Carolina School of Science and Mathematics
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science (B.S.) Biology Minor in Computer Science, Bachelor of Science (B.S.) Biology Minor in Computer Science at University of North Carolina at Chapel Hill
A web scraper that scrapes manga hosting websites to see if any of the manga I've been reading has been updated. Stores data on each title, website, and how to scrape each site in a database. Updates db when a new chapter has been released.
Contributions:1 PR, 14 pushes, 1 branch in 2 years 8 months
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