Put AI to Work
April 15-18, 2019
New York, NY
Scott Clark

Scott Clark
Cofounder and CEO, SigOpt

Website | @DrScottClark

Scott Clark is a cofounder and CEO of SigOpt, providing optimization tools as a service that help experts optimally tune their machine learning models. Scott has been applying optimal learning techniques in industry and academia for years, from bioinformatics to production advertising systems. Previously, he worked on the ad targeting team at Yelp, leading the charge on academic research and outreach with projects like the Yelp Dataset Challenge and open sourcing MOE. Scott was chosen as one of Forbes’s 2016 “30 under 30.” He holds a PhD in applied mathematics, an MS in computer science from Cornell University, and BS degrees in mathematics, physics, and computational physics from Oregon State University.

Sessions

4:55pm–5:35pm Wednesday, April 17, 2019
Best practices for scaling modeling platforms
AI Business Summit, Case Studies
 Location: Sutton North/Center
Secondary topics:  AI case studies, Automation in machine learning and AI, Financial Services, Platforms and infrastructure
Scott Clark (SigOpt), Matt Greenwood (Two Sigma Investments)
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Companies are increasingly building modeling platforms to empower their researchers to efficiently scale the development and productionalization of their models. Scott Clark and Matt Greenwood share a case study from a leading algorithmic trading firm to illustrate best practices for building these types of platforms in any industry. Read more.