Summary
Alex Frech is a data scientist turned medical student with 11 years of experience applying quantitative rigor to real-world health problems. He has led and built data science teams and pipelines—deploying PySpark, XGBoost, NLP, and large-scale feature engineering—to optimize interventions for millions of healthcare members before transitioning to hands-on clinical roles as a medical assistant and CNA. At Albany Medical College and through clinical work in family medicine and progressive care units he blends technical insight with direct patient care, favoring collaborative problem-solving that centers patient needs. His research work spans multi-omics analysis and automated survey pipelines, reflecting a knack for turning messy biomedical data into actionable insights. Based in Albany, NY, he brings a rare combination of production ML experience, clinical empathy, and mentorship in pre-health education.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (BA) Applied Mathematics with Economics Emphasis, Bachelor of Arts (BA) Applied Mathematics with Economics Emphasis at University of California, Berkeley
Doctor of Medicine - MD, Doctor of Medicine - MD at Albany Medical College
Data Science Immersive, Data Science Immersive at Galvanize Inc
Pre-Medical Post-Baccalaureate, Pre-Medical Post-Baccalaureate at University of Colorado Boulder
English, Spanish