Seth co-founded Nosis after working at the cutting edge of deep learning, graph neural networks, and natural language processing for over a decade. Prior to co-founding Nosis, Seth worked as the Vice President of Product & Head of Data Science at Demandbase, a late stage venture-backed technology firm in San Francisco, CA. At Demandbase, Seth and his team developed a best in class machine learning platform that is now used by thousands of customers processing billions of transactions every day.
Prior to Demandbase, Seth was the Chief Scientist for Spiderbook, a machine learning startup focused on organizing the world’s information on how companies collaborate. Seth’s work led to the successful acquisition of Spiderbook by Demandbase in 2016. Seth is a prolific researcher whose published work on machine learning has been cited over 6,000 times. Seth has developed multiple technologies in deep learning, broader machine learning, and generative AI.
At Nosis, Seth leads development of the Nosis cell-targeting platform where he has concepted, designed, and implemented over 10 proprietary innovations. Seth is also responsible for recruiting and managing a team of best-in-class interdisciplinary scientists from both academic and industry backgrounds.
Seth received his PhD in Computational Mathematics from Stanford University. Seth earned his BA from Northwestern University, where he triple majored in Math, Physics, and Integrated Science.