Frederic Sala is Chief Scientist at Snorkel AI and an assistant professor in the Computer Sciences Department at the University of Wisconsin-Madison. His research studies the fundamentals of data-driven systems and machine learning, with a focus on foundation models, automated machine learning, learning with limited data. Previously, he was a postdoctoral researcher at Stanford. He received his Ph.D. in electrical…

Vincent is a Product Leader at Snorkel AI, where he leads AI data development workflows in Snorkel Flow. He joined Snorkel as a Founding Engineer and grew the ML Engineering team from zero-to-one. Before Snorkel, he was a graduate student at the Stanford AI Lab and led research on the foundations of data-centric ML systems.

Aarti is the principal ML solutions engineer at Snorkel AI, where she leads a team of solutions engineers and collaborates with some of the company’s largest clients. Prior to joining Snorkel, she worked closely with Dr. Andrew Ng in various roles. She contributed to building ML companies from the ground up at AI Fund, both internally and through investments. She…

Alex Ratner is one of the co-founders and CEO at Snorkel AI, and an Affiliate Assistant Professor of Computer Science at the University of Washington. Prior to Snorkel AI and UW, he completed his Ph.D. in CS advised by Christopher Ré at Stanford, where he started and led the Snorkel open source project. His research focused on data-centric AI, applying…

Paroma Varma is the co-founder and Head of Solutions at Snorkel AI, earned her Ph.D. from Stanford University. Her research focused on democratizing machine learning for domain experts who lack access to large datasets necessary for training intricate models thus making complex AI technologies more accessible and impactful for a broader audience. She applied these methods in diverse fields such…

Marty Moesta serves as the lead product manager for Snorkel’s Generative AI products and services. Before taking on this role, Marty played a key role in Snorkel’s founding go-to-market team, where he focused on success management and field engineering. In this capacity, he worked closely with Fortune 100 strategic customers in industries such as financial services, insurance, and healthcare. Prior…

Kristina is currently leading product at Snorkel AI. She oversees the core capabilities that enable enterprises to leverage and implement state-of-the-art foundation models and LLMs in practical, real-world scenarios. She is passionate about using data and technology to solve real-world problems.

Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on…

Ajay Singh serves as the Chief Product Officer at Snorkel AI, overseeing the product and design team responsible for shaping Snorkel’s cutting-edge data development platform. Prior to joining Snorkel, Ajay co-founded and served as CEO of Zebrium, a pioneer in utilizing ML and GenAI to analyze software logs and identify the root causes of outages. Before Zebrium, Ajay played a…