Summary
Michael Pinus is a research-focused data scientist and computational social researcher with 11 years of experience combining statistics, programming, and clinical psychology to model and predict human behavior. He has led multidisciplinary teams and built AI-driven products—from academic postdoctoral work at Harvard Business School to heading AI at a scent-tech startup—bridging theoretical research with product deployment. His work spans experimental and naturalistic designs, emotional dynamics, conversation quality, and behavioral prediction, reflecting a rare mix of clinical training and quantitative rigor. Michael is a resourceful troubleshooter and critical thinker who thrives on curiosity-driven projects where data informs interventions and product decisions. Based in Jerusalem, he often blends minute-level emotional analytics with network and group-level models—a perspective shaped by clinical practice and longitudinal research. He is seeking a data-science role where his interdisciplinary background and leadership in applied research can drive measurable impact.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Psychology and 'Amirim', Bachelor's degree Psychology and 'Amirim' at The Hebrew University of Jerusalem
Doctor of Philosophy - PhD Psychology, Doctor of Philosophy - PhD Psychology at Ben-Gurion University of the Negev
English, Hebrew, Spanish