Michael Skarlinski

Michael manages the data science team at WW (the new Weight Watchers). His team builds data products to serve millions of members across all areas of the business. He helped develop Primrose, WW’s open source machine learning framework, which drove the development of production social-media recommenders, membership models, and recipe recommenders. Before joining WW, Michael received a PhD in computational materials science at the University of Rochester and worked as a data science consultant where he built optimization and machine learning systems for organizations in media and tech.