Summary
Refael Lasry is a Lead Data Scientist with eight years of industry experience building production-ready statistical and machine learning systems, primarily in Python, across finance, insurance, and telematics. He combines deep applied-math instincts—statistics, probability, stochastic volatility models—and hands-on engineering with AWS, Spark, SQL/MongoDB, and Linux to deliver end-to-end solutions from databases and APIs to deployed algorithms. His work spans NLP for fixed-income named-entity recognition, actuarial time-series estimation, anomaly detection using extreme-value theory, and algorithmic volatility trading platforms. A former co-founder and CTO, he brings product-minded pragmatism to research problems and a particular interest in covariance estimation and embryo-selection (IVF) applications that reflects an uncommon blend of finance and bio-statistical curiosity. Based in Herzliya, Israel, he enjoys tackling evolving math-and-code challenges and translating them into reliable, scalable systems.
8 years of coding experience
10 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at The Hebrew University of Jerusalem
English, Hebrew