Organizers

Sanmi Koyejo
General Chair

Sanmi Koyejo is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign and a research scientist at Google AI in Accra. Koyejo's research interests are in developing the principles and practice of adaptive and robust machine learning. Additionally, Koyejo focuses on applications to biomedical imaging and neuroscience. Koyejo co-founded the Black in AI organization and currently serves on its board.

Shakir Mohamed
General Chair

Shakir Mohamed is a senior staff scientist at DeepMind in London. Shakir's main interests lie at the intersection of approximate Bayesian inference, deep learning and reinforcement learning, and the role that machine learning systems at this intersection have in the development of more intelligent and general-purpose learning systems. Before moving to London, Shakir held a Junior Research Fellowship from the Canadian Institute for Advanced Research (CIFAR), based in Vancouver at the University of British Columbia with Nando de Freitas. Shakir completed his PhD with Zoubin Ghahramani at the University of Cambridge, where he was a Commonwealth Scholar to the United Kingdom. Shakir is from South Africa and completed his previous degrees in Electrical and Information Engineering at the University of the Witwatersrand, Johannesburg.

Alekh Agarwal
Program Chair
Alice Oh
Program Chair
Danielle Belgrave
Program Chair
Kyunghyun Cho
Program Chair

Kyunghyun Cho is an associate professor of computer science and data science at New York University and a research scientist at Facebook AI Research. He was a postdoctoral fellow at the Université de Montréal until summer 2015 under the supervision of Prof. Yoshua Bengio, and received PhD and MSc degrees from Aalto University early 2014 under the supervision of Prof. Juha Karhunen, Dr. Tapani Raiko and Dr. Alexander Ilin. He tries his best to find a balance among machine learning, natural language processing, and life, but almost always fails to do so.

Hanie Sedghi
Workshop Chair

I am a senior research scientist at Google Brain, where I lead the “Deep Phenomena” team. My approach is to bond theory and practice in large-scale machine learning by designing algorithms with theoretical guarantees that also work efficiently in practice. Over the recent years, I have been working on understanding and improving deep learning.

Prior to Google, I was a Research Scientist at Allen Institute for Artificial Intelligence and before that, a postdoctoral fellow at UC Irvine. I received my PhD from University of Southern California with a minor in mathematics in 2015.

Hsuan-Tien Lin
Workshop Chair
Sungjin Ahn
Workshop Chair
Tristan Naumann
Workshop Chair
Adji Bousso Dieng
Tutorial Chair
Andrew Gordon Wilson
Tutorial Chair
Jessica Schrouff
Tutorial Chair

I am a Senior Research Scientist at DeepMind since 2022. I joined Alphabet in 2019 as part of Google Research working on trustworthy machine learning for healthcare. Before that, I was a postdoctoral researcher at University College London and Stanford University studying machine learning for neuroscience. My current interests lie at the intersection of trustworthy machine learning and causality.

Gustavo Stolovitzky
Competition Chair
Jake Albrecht
Competition Chair
Marco Ciccone
Competition Chair
Deepti Ghadiyaram
Datasets and Benchmarks Chair

I am a Research Scientist at Facebook AI Applied Research (FAIAR) where I work on Computer Vision, Image and Video Processing, and Machine Learning. I work on problems such as perceptual image and video quality, large-scale video action recognition, fairness and inclusivity.

Prior to joining Facebook AI, I obtained my PhD at the University of Texas at Austin in 2017 where I worked with Alan Bovik on perceptual image and video quality assessment for real-world content.

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'.

Erin Grant
Diversity, Inclusion & Accessibility Chair
Ignatius Ezeani
Diversity, Inclusion & Accessibility Chair

Dr Ignatius Ezeani A Senior Teaching/Research Associate with the Data Science Group at Lancaster University. I'm interested in the application of NLP techniques in building resources for low-resource languages especially African languages, but my interests span other related areas like corpus linguistics, distributional semantics, machine learning, deep neural models and general AI.

Arjun Subramonian
Affinity Workshop Chair
Kehinde Aruleba
Affinity Workshop Chair
Sunipa Dev
Affinity Workshop Chair

Computing Innovation Fellow 2020, Research Assistant at University of Utah, Postdoctoral Fellow at UCLA starting Jan 2020. Research interests are Responsible and Interpretable AI, NLP and Algorithmic Fairness.

Ismini Lourentzou
Expo Chairs
Wenming Ye
Expo Chairs
Jessica Forde
Outreach Chair
Matthew Wang
Outreach Chair

Outreach Co-Chair, M.S. in CS at UCLA. Passionate about CS Ed, PL + HCI, and open-source. Say hi!

Cherie Poland
Ethics Review Chair

PI/SME: AIML Quality Assurance Engineering Manger, Complex Adaptive Systems Researcher, Patent Attorney (US) MEng^2 (candidate) Electrical Engineering at Virginia Tech

Deborah Raji
Ethics Review Chair
Sasha Alexandra Luccioni
Ethics Review Chair
William Isaac
Ethics Review Chair
Animesh Garg
Communication Chair

I am a CIFAR AI Chair Assistant Professor of Computer Science at the University of Toronto, a Faculty Member at the Vector Institute, and Sr. Researcher at Nvidia. My current research focuses on machine learning for perception and control in robotics.

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.

Freddie Kalaitzis
Social Chair

Freddie is a Senior Research Fellow at the Dept. of Computer Science, University of Oxford, investigating topics mainly in AI for Earth Observation. He is the principal investigator of OpenSR, a €1M government contract with ESA, to increase the safety of Super-Resolution technology for the Sentinel-2 archive. He is also an independent consultant, involved in projects where he leads teams in the Frontier Development Lab (FDL), a private-public partnership between NASA, SETI, and Trillium Technologies. His recent FDL projects were funded by NASA SMD to investigate the use of SAR imagery for disaster detection, and by the USGS to develop near-real-time water stream mapping from daily PlanetScope imagery. His most recent work is a survey on the State of AI for Earth Observation, in collaboration with Satellite Applications Catapult.

Jung-Woo Ha
Social Chair
Koustuv Sinha
Journal Chair

Research Scientist at Meta AI NYC. PhD from McGill University / Mila, advised by Dr Joelle Pineau.

I primarily work on logical language understanding, systematic generalization, logical graphs and dialog systems.

Tegan Maharaj
Journal Chair
Hendrik Strobelt
Hybrid Workflow 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