As a Director of Engineering in AI at Facebook. Joaquin built the AML (Applied Machine Learning) team, driving product impact at scale through applied research in machine learning, language understanding, computer vision, computational photography, augmented reality and other AI disciplines. AML also built the unified AI platform that powers all production applications of AI across the family of Facebook products. Joaquin is now focused on new AI challenges, including the ethics of AI.
Esteban leads Analytics and Data Science for the Facebook Artificial Intelligence organization. Prior to joining Facebook, Esteban led the Search Experience at @WalmartLabs, where he joined as the Head of Data Science for Retail Core Technology after Adchemy was acquired in 2014. At Adchemy, Esteban developed data products for lead generation and paid search advertising. He has also worked closely with Professor Shie Mannor from the Technion while at Stanford, Adchemy, and @WalmartLabs.
Arcaute completed a Ph.D. at the Institute for Computational and Mathematical Engineering at Stanford University, under the supervision of Professor Ramesh Johari. At Stanford, he worked on several topics at the intersection of algorithmic game theory, network theory, and economic equilibrium theory. He is also on the organizing committee for the Third Global Women in Data Science Conference, to be held at Stanford on March 4, 2019.