Organizers

Alice Oh
General Chair
Tristan Naumann
General Chair
Amir Globerson
Program Chair
Kate Saenko
Program Chair
Moritz Hardt
Program Chair
Sergey Levine
Program Chair
Hsuan-Tien Lin
Workshop Chair
Ismini Lourentzou
Workshop Chair
Piotr Koniusz
Workshop Chair
Yarin Gal
Workshop Chair
Andrew Gordon Wilson
Tutorial Chair
Marzyeh Ghassemi
Tutorial Chair
Jake Albrecht
Competition Chair
Marco Ciccone
Competition Chair
Tao Qin
Competition Chair
Emily Denton
Datasets and Benchmarks Chair
Joaquin Vanschoren
Datasets and Benchmarks Chair

Joaquin Vanschoren is an Assistant Professor in Machine Learning at the Eindhoven University of Technology. He holds a PhD from the Katholieke Universiteit Leuven, Belgium. His research focuses on meta-learning and understanding and automating machine learning. He founded and leads OpenML.org, a popular open science platform that facilitates the sharing and reuse of reproducible empirical machine learning data. He obtained several demo and application awards and has been invited speaker at ECDA, StatComp, IDA, AutoML@ICML, CiML@NIPS, AutoML@PRICAI, MLOSS@NIPS, and many other occasions, as well as tutorial speaker at NIPS and ECMLPKDD. He was general chair at LION 2016, program chair of Discovery Science 2018, demo chair at ECMLPKDD 2013, and co-organizes the AutoML and meta-learning workshop series at NIPS 2018, ICML 2016-2018, ECMLPKDD 2012-2015, and ECAI 2012-2014. He is also editor and contributor to the book 'Automatic Machine Learning: Methods, Systems, Challenges'.

Jung-Woo Ha
Datasets and Benchmarks Chair
Arjun Subramonian
Affinity Workshop Chair
Blessing Ogbuokiri
Affinity Workshop Chair

Blessing is currently a postdoctoral fellow (second year) and instructor at the Department of Mathematics and Statistics, York University, Toronto. He holds a Ph.D. in Computer Science from the University of the Witwatersrand, Johannesburg, South Africa. He has over fifteen (15) years of combined professional experience across a broad range of fields in academia, industry, and community-based organizations. He is a dynamic team player who is eager to utilize his diverse talents to advance in research and innovation.

Konstantina Palla
Affinity Workshop Chair
Jihun Hamm
Outreach Chair
Erin Grant
Diversity, Inclusion & Accessibility Chair
Rosanne Liu
Diversity, Inclusion & Accessibility Chair
Venkatesh Saligrama
Expo Chairs
Wenming Ye
Expo Chairs
Cherie Poland
Ethics Review Chair

Machine/Deep Learning Engineer, Solutions Architect, Data Engineer, Attorney (US)

Jiahao Chen
Ethics Review Chair
Lester Mackey
Ethics Review Chair
Alex X Lu
Communication Chair

I’m a Senior Researcher at Microsoft Research New England, in the BioML group. I’m interested in how machine learning can help us discover new insights from biological data, by finding patterns that are too subtle or large-scale to identify unassisted. I primarily focus on biological images, and my research often designs self-supervised learning methods, as I believe these methods are unbiased by prior knowledge.

Irene Chen
Communication Chair
Sahra Ghalebikesabi
Communication Chair

Sahra Ghalebikesabi is a fourth year PhD student at the University of Oxford, supervised by Chris Holmes. During her PhD, she interned at DeepMind London and Microsoft Research Cambridge. She is also a Microsoft Research PhD Fellow. Her research focusses on generative modelling for robustness, differential privacy and interpretability.

Animesh Garg
Social Chair
Lam Nguyen
Journal Chair
Zhenyu (Sherry) Xue
Workflow Manager
Brad Brockmeyer
Logistics and IT
Brian Nettleton
Logistics and IT
Lee Campbell
Logistics and IT

This is the speaker bio

Mary Ellen Perry
Logistics and IT
Max A Wiesner
Logistics and IT
Stephanie Willes
Logistics and IT
Teresa M Auricchio
Logistics and IT