Summary
Asaf Hanish is a Senior Data Scientist with nearly a decade of hands-on experience applying Python and machine learning to complex healthcare data at Penn Medicine. He designs and deploys predictive classifiers—such as Random Forest models for readmission risk and oncology cohort stratification—and builds end-to-end data pipelines that query, transform, predict, and communicate results to clinical teams. Comfortable with advanced statistical methods and LLMs (including GPT-4) for extracting insights from text, he bridges technical implementation with clinical and business needs. Trained in epidemiology (MPH) and microbiology, he brings a strong study-design and biostatistics mindset to production ML, ensuring models are both scientifically grounded and operationally useful.
9 years of coding experience
7 years of employment as a software developer
Master of Public Health - MPH, Epidemiology, Master of Public Health - MPH, Epidemiology at University of Pittsburgh