Summary
Hai Nguyen is a biostatistician and PhD candidate (UIC, expected May 2026) with eight years of experience translating clinical insight into rigorous, reproducible statistical analyses across clinical trials, health equity, and population studies. He designs and implements advanced causal inference, survival, longitudinal, and machine learning methods—often integrating AI-assisted workflows—and has led complex factorial trial pipelines, Monte Carlo power simulations, and multilevel mediation research for peer-reviewed manuscripts. His background as a physician gives him a clinician’s eye for meaningful research questions, informing applied work from early childhood special education disparities to COVID-19 ARDS risk modeling. A practical coder in R, SAS, Stata, Mplus, and Stan, he also built an R package to automate Mplus outputs, speeding reproducible reporting. Based in Cambridge, MA, he is seeking Biostatistician, Data Scientist, or Statistical Programmer roles starting summer 2026 and welcomes opportunities that marry rigorous methods with real-world healthcare impact.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Illinois Chicago
Doctor of Medicine (M.D.), Medicine, Doctor of Medicine (M.D.), Medicine at Pham Ngoc Thach University of Medicine (Former name: UNIVERSITY TRAINING CENTER For Health Care Professionals - Ho Chi Minh City)