Saul Lee is a highly accomplished data scientist with an impressive list of credentials and experience in building data-based solutions for complex problems. Lee holds a PhD from the University of Texas at Austin and studied BS at the Georgia Institute of Technology. With a track record of successful projects, Saul has worked in many different organizations including Quantum-Si as a Senior Data Scientist, Insight Data Science as a Technical Advisor and a Data Science Fellow, Publicis Sapient as a Data Scientist, Le Car as CTO, General Motors Global R&D Laboratories as a Researcher, Molecular Imprints, Inc. as a Research Engineer, and as a Graduate Research Assistant at the University of Texas, Austin.

Throughout his career, Saul has focused on building effective solutions for difficult data science challenges. Some of his expertise includes building machine learning models, creating automated dashboards, and extracting meaningful insights from event-based analytics data. Saul remains a passionate and driven data scientist who is always eager to take on new, exciting projects.