Peter Swartz

In this role, Peter has spoken on supply chains and machine learning with the World Trade Organization, the National Academies of Medicine, the US Court of International Trade, and the O’Reilly and Wolfram conferences.

Previously, Peter was Head of Data Science at Panjiva (listed as Fast Company’s most innovative data science company in 2018 and sold to S&P Global). He holds a number of patents in machine learning and global trade.

Peter completed his undergraduate and graduate education at Yale, MIT, and the Federal Polytechnic of Lausanne (EPFL), with a focus on engineering, statistical methods, and global trade. He was a National Science Foundation Graduate Research Fellow and has high-level proficiency in both French and Chinese.