Mar 15–18, 2020
Guillaume Saint-Jacques

Guillaume Saint-Jacques
Lead, Computational Social Science, LinkedIn Corporation

Guillaume Saint-Jacques is the tech lead of computational social science at LinkedIn. Previously, he was the technical lead of the LinkedIn experimentation science team. He holds a PhD in management research from the MIT Sloan School of Management, a master’s degree in economics from the Paris École Normale Supérieure and the Paris School of Economics, and a master’s degree in entrepreneurship from HEC Paris.

Sessions

11:50am12:30pm Tuesday, March 17, 2020
Location: LL21 C
Secondary topics:  Technology Ethics
Guillaume Saint-Jacques (LinkedIn Corporation), Meg Garlinghouse (LinkedIn Corporation)
Most companies want to ensure their products and algorithms are fair. Guillaume Saint-Jacques and Meg Garlinghouse share LinkedIn's A/B testing approach to fairness and describe new methods that detect whether an experiment introduces bias or inequality. You'll learn about a scalable implementation on Spark and discover examples of use cases and impact at LinkedIn. Read more.

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