MSc, חוקר בכיר
I am determined to transform medical data into insights that advance our understanding of diseases and improve health.
Barak is a researcher in computational health specializing in predictive modeling, machine learning, causal inference, and data analysis. At KI, he is working on bringing new insights from big data to the fields of Alzheimer’s, drug repurposing, IBD, influenza, and COVID-19.
Previously, Barak worked for a decade as an algorithm developer in R&D at Medial EarlySign where he was part of the group that successfully developed the ColonFlag algorithm (to identify pre-symptomatic patients that are high risk for colon cancer). The algorithm was successfully implemented at several medical centers worldwide. He also developed predictive models for heart disease, diabetes, and renal failure. Prior to his work at Medial, Barak specialized in building data warehouses and developing predictive models in the telecommunications, banking, insurance, and Internet industries.
Barak received his MSc in physics from Tel Aviv University and his BSc (cum laude) in information systems engineering from Ben-Gurion University of the Negev.
Barak is a baker, a chef, and an aspiring gardener. He also enjoys reading books and playing chess.