Summary
Donovan Wu is a data-focused software engineer and statistical scientist with 11 years of professional experience bridging computational biology, cloud engineering, and product-facing backend work. Currently a graduate student in Duke’s Statistical Science program, he develops probabilistic models and NumPy-based algorithms to study microbial population dynamics as a Data Science Research Fellow at Cleveland Clinic Lerner Research Institute. He has built secure cloud features and federated learning frameworks on AWS, implemented payment pipelines and optimized .NET APIs for consumer-facing platforms, and shipped full-stack integrations using React, Flask, and Stripe. Comfortable toggling between research-grade simulation code and production engineering, Donovan has a knack for turning stochastic models into actionable metrics—e.g., quantifying evolution-driven fitness gains and reductions in population randomness. Based in Boca Raton, he balances technical work with service roles in hospitality, bringing customer-centric instincts to product and API design.
11 years of coding experience
1 year of employment as a software developer
Master of Science, Statistical Science, Master of Science, Statistical Science at Duke University
BS in computer science and statistics; Minor in mathematics, Mathematics and Computer Science, BS in computer science and statistics; Minor in mathematics, Mathematics and Computer Science at Case Western Reserve University
High School Diploma, High School Diploma at Pine Crest School
English, Chinese, Spanish