Joaquin Quiñonero Candela

Senior Fellow at the Harvard Belfer Center
Board Member at the Partnership on AI
Former Distinguished Tech Lead for Responsible AI at Facebook (now Meta)

Brief Biography:

Please see my LinkedIn profile for more details.

I am currently taking a break to fully support my wife with rebuilding her career, and to enjoy their kids before they all leave the nest. I recently resigned from Facebook after 9.5 amazing years in order to create the space I need.

In the meantime, I am a Senior Fellow at the Harvard Belfer Center, I serve on the Board of Directors of the Partnership on AI, a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society, and I am a member of the Spanish Government’s Advisory Council for Artificial Intelligence.

Until September 2021, I was the Distinguished Technical Lead for Responsible AI at Facebook, where I led the technical strategy for areas like fairness and inclusiveness, robustness, privacy, transparency, and accountability. Before this, I built and led the AML (Applied Machine Learning) team at Facebook, 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.

Prior to Facebook, I built and taught a new machine learning course at the University of Cambridge (in 2012, together with Carl Rasmussen), 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 in 2004 from the Technical University of Denmark.

Publications: please my Google Scholar page. I also keep some old papers cached here.

During 2012 I was a Guest Lecturer at the Machine Learning Group, Engineering Department at the University of Cambridge.
I taught a newly designed Machine Learning course together with Carl Rasmussen.

Old talks:

• The Path of Go for the Xbox 360 (2mins)
• Pobability and Bayesian Inference (1.5hrs)
• The EM algorithm and Mixtures of Gaussians (1.5hrs)

[style copied from the great Sam Roweis]