Summary
Ohad Dan is a postdoctoral researcher and behavioral data scientist with over 8 years of applied experience and a 15-year track record of turning complex data into strategic action across academia, industry, and startups. He blends machine learning, statistical modeling, and reinforcement learning to design large-scale A/B experiments and build models that link decision patterns to real-world outcomes, including clinical prediction and product-like reward structures. His work spans advertising, cybersecurity, and behavioral analytics, with hands-on experience deploying anomaly detection, personalized engagement strategies, and REST API-backed ad tech. Trained as a computational neuroscientist and PhD in rationality, he uniquely combines neural time-series analysis with RL to model exploration and decision-making in dynamic environments. Based in Irvine, CA, he mentors junior researchers and bridges research rigor with ROI-driven solutions, often translating laboratory-scale experiments (N=10,000+) into scalable interventions. A pragmatic scientist who ships production-ready algorithms, he thrives at the intersection of data, strategy, and human behavior.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Rationality, Doctor of Philosophy - PhD, Rationality at The Hebrew University