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Joaquin Candela, Director of Applied Machine Learning, Facebook in Conversation with Esteban Arcaute

Joaquin Candela
November 26, 2018 - 4:30pm to 5:30pm
Hewlett Teaching Center, Room 200

This event has already occurred. View the video on the ICME Youtube Channel

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.


Prior to his current role, Joaquin built and taught a new machine learning course at the University of Cambridge, worked at Microsoft Research, and conducted postdoctoral research at three institutions in Germany, including the Max Planck Institute for Biological Cybernetics. He received his PhD from the Technical University of Denmark. Joaquin is a passionate runner (and new to triathlons), likes to play and sing folk songs on the guitar, and is devoted to his wife and three kids.

Esteban Arcaute:

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.

This event belongs to the seminar series CME 500: Artificial Intelligence in Real Life


Please RSVP for each session if you are not registered for the CME 500 course.  



Stanford Institute for Computational Mathematics & Engineering (ICME) graciously acknowledges that financial support for this series is provided by Google.

This series is presented in collaboration with the Stanford Computational Policy Lab (SCPL) and the Stanford Center on Philanthropy and Civil Society (PACS).