Summary
Hang Zhang is a Principal Data & Applied Scientist Manager at Microsoft with deep expertise in bringing end-to-end AI/ML systems into production for retail and healthcare enterprises. He combines a strong academic foundation (PhD in Industrial and Systems Engineering) with proven competitive success—top finishes in KDD Cup and the Heritage Health Prize—demonstrating rare strength in predictive modeling, survival analysis and recommender systems. Skilled across the full data stack (Hadoop/Spark, Python/R/SQL, HPCC) he excels at turning large IoT and big-data streams into actionable models using ensembles, GBDTs and deep learning. As a manager and former affiliate professor, he balances hands-on modeling with mentoring and applied research, driving deployment at scale. Notably, his work spans both online ad CTR and healthcare hospitalization prediction, reflecting an unusual breadth across commercial and clinical domains.
3 years of coding experience