Gregory Ryslik

Gregory Ryslik

Chief Data and AI officer, Stellarus
Dr. Gregory Ryslik is a statistician, data scientist and artificial intelligence researcher with experience building and leading data initiatives in companies across the biotech, autotech, healthtech and fintech domains. Dr. Ryslik is currently the Chief Data and AI officer at Stellarus working on developing an AI enabled technology layer for the healthcare ecosystem. Previously, Dr. Ryslik led Artificial Intelligence, Engineering & Data Efforts at Compass Pathways, a biotechnology company dedicated to accelerating patient access to evidence-based innovation in mental health. Prior to Compass, Greg Ryslik was the Chief Data Officer at Celsius Therapeutics in Cambridge, MA, a biotechnology company focused on single cell RNA sequencing which was bought by Abbvie. Prior to that, he was Vice President of Data Science at Mindstrong Health, a healthcare company transforming mental health treatment through measurement science and artificial intelligence. Greg has also spent time in the automotive sector, first at Tesla Motors, leading the Service Data Science group in Palo Alto, CA and then as the Head and Senior Director of Data Science at Faraday Future in Los Angeles, CA. Earlier in his career, Dr. Ryslik worked as an actuary in New York City at PricewaterhouseCoopers as well as a researcher at Genentech where he focused on machine learning and nonclinical biostatistics. Academically, Dr. Ryslik is an Assistant Professor of Practice at the Computer Science and Engineering department at The Ohio State University and has lectured on statistics for artificial intelligence and machine learning at Stanford University. He is also a fellow of the Casualty Actuarial Society, as well as a member of the American Academy of Actuaries. His research has been published in journals ranging from Nature to BMC Bioinformatics and has led to several software packages on mutational clustering. Dr. Ryslik holds a PhD from Yale University in biostatistics, a master’s degree in statistics from Columbia University and an undergraduate degree in mathematics, computer science and finance from Rutgers University.