Monday
Meredith Broussard – New York University
Bias in AI
Data journalist Meredith Broussard is a professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and “Artificial Unintelligence: How Computers Misunderstand the World.
Tuesday
David Fouhey – New York University
For the Birds
David Fouhey is an Assistant Professor at NYU, jointly appointed between Computer Science in the Courant Institute of Mathematical Sciences and Electrical and Computer Engineering in the Tandon School of Engineering. From 2019 to 2023, he was an Assistant Professor at the University of Michigan. Before that, he was a postdoctoral fellow at UC Berkeley. He received a Ph.D. in robotics from Carnegie Mellon University.
Wednesday
Marcelo Mattar – New York University
AI and Decision Making
Dr Marcelo Mattar is an Assistant Professor of Psychology and Neural Science at New York University. He holds a PhD in Psychology and a Master’s in Statistics from the University of Pennsylvania, and a Bachelor’s in Electronics Engineering from the Aeronautics Institute of Technology in Brazil. Prior to his current role, Dr. Mattar was a postdoctoral researcher at Princeton University under the mentorship of Nathaniel Daw and at the University of Cambridge’s Department of Engineering, working with Máté Lengyel.
Thursday
Daniel Neill – New York University
Machine Learning and Underreported Building Issues
Daniel B. Neill, Ph.D., is Professor of Computer Science, Public Service, and Urban Analytics at New York University, jointly appointed at NYU’s Courant Institute Department of Computer Science, Robert F. Wagner Graduate School of Public Service, and Center for Urban Science and Progress, where he directs the Machine Learning for Good Laboratory.
Friday
Cristina Savin – New York University
Taking AI to Kindergarten
CS is an Assoc. Professor in Neural Science and Data Science at NYU and the Director for Graduate Studies (PhD) in the Center for Data Science. After obtaining a PhD in computational neuroscience from Goethe University in Frankfurt , and postdoctoral research at Cambridge University, ENS Paris and IST Austria, Dr. Savin joined NYU in 2017. Her lab studies neural principles of adaptive computation by combining machine learning, computational neuroscience theory and statistical analyses of experimental data from neuroscience collaborators.
