Summary
Nan Huang is a Data Science PhD student and experienced researcher based in San Diego with nine years of cross-disciplinary experience spanning bioinformatics, data engineering, and quantitative finance. At UC San Diego's Halıcıoğlu Data Science Institute she advances genetic and transcriptomic risk modeling for childhood asthma while also building scalable data pipelines and automated extraction tools used across research centers. Her background includes hands-on work integrating large policy and institutional datasets, developing NLP keyword extraction, and automating monthly SAP master-data reviews to boost efficiency by 70%. She bridges academic research and industry practice—having applied Monte Carlo backtesting and portfolio optimization in finance roles and productionized API-driven reporting for consulting teams. Nan combines technical depth in Python, R, SQL, and NLP with leadership experience running a 150+ member student organization, reflecting strong project management and stakeholder coordination skills. Motivated by continuous self-improvement, she brings a pragmatic research mindset that turns messy, large-scale data into actionable models and tools.
9 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Georgetown University
High School Diploma, High School Diploma at The Steward School
Chinese, English, Spanish