Announcing the WiDS Worldwide conference speakers: Data Science Leaders Converge at Stanford on March 7, 2022
The WiDS Worldwide team is delighted to announce a distinguished set of confirmed speakers addressing topics such as the latest research in data ethics and algorithmic bias, to applications in healthcare, environmental science, public policy, and more. They include:
Cecilia Aragon: Professor at UW, Aerobatic Pilot, Author, & Data Scientist
Cecilia is Professor and Director of the Human-Centered Data Science Lab at the University of Washington (UW) where she and her team use both quantitative and qualitative methods to study how people make sense out of large data sets, at the intersection of human-computer interaction and data science. She has received numerous awards, including the Presidential Early Career Award for Scientists and Engineers and the Fulbright award. Cecilia will deliver a keynote address titled, “The Rigorous and Human Life of Data”.
Suzanne Weekes: Professor, WPI & Executive Director, SIAM
Suzanne Weekes is the Executive Director of SIAM (Society for Industrial and Applied Mathematics) an international professional society of over 14,000 individual members with almost 500 institutional members from academia, government, and research laboratories. She is Professor of Mathematical Sciences at Worcester Polytechnic Institute (WPI). Suzanne has received multiple awards, including the Humphreys Award for Mentoring from the Association for Women in Mathematics (AWM) and the Haimo Award for Distinguished College or University Teaching of Mathematics from the Mathematical Association of America (MAA). Suzanne will moderate the WiDS Career Panel.
Alex Hanna: Research Scientist, Ethical AI at Google
Alex is a sociologist and senior research scientist working on the Ethical AI team at Google. Before that, she was an Assistant Professor at the Institute of Communication, Culture, Information and Technology at the University of Toronto. Her research centers on origins of the training data which form the informational infrastructure of AI and algorithmic fairness frameworks, and the way these datasets exacerbate racial, gender, and class inequality. She will deliver a technical vision talk titled, “Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data”.
Nandi Leslie: Engineering Fellow at Raytheon Technologies, Applied Mathematician
Nandi is an Engineering Fellow with over twenty-two years of experience. Since 2015, she has also served as a Principal Investigator in the U.S. Army Research Laboratory (ARL). She has written over 55 publications in peer-reviewed journals, conference proceedings, and book chapters. Nandi will deliver a technical vision talk titled, “Unsupervised Learning for Network Intrusion Detection”.
Keep checking back, as we will be announcing more speakers in the coming weeks.
Join us! In-person or online
Register here to attend in-person. The early bird discount ends on December 17, and additional discounts are available for Academia, PostDocs, Government, and Non-profit. You’ll want to experience WiDS at Stanford, connecting with attendees from industry, academia, non-profits, and government and learning from the sessions. Registration for the virtual conference will open in January.