At this colloquium, visiting and local scholars, as well as the MIDAS Eric and Wendy Schmidt AI in Science and Engineering Fellows, will share their expertise about the implementation of AI in Science and Engineering.

The goal of this session is to enable more faculty and other researchers to adopt AI methods in their research.
All are welcome to attend.
Registration in advance is strongly recommended - Register at https://forms.gle/WUcCwUy1eghBBDAH8

Speakers:
Sara Beery: MIT EECS’ Faculty of AI and Decision Making, MIT CSAIL, and Visiting Researcher at Google
Yang Chen: Assistant Professor of Statistics, Research Assistant Professor for MIDAS, University of Michigan
Jeffrey Fessler: William L. Root Collegiate Professor of EECS, College of Engineering, University of Michigan
Daniel Forger: Robert W and Lynn H Browne Professor of Science, Professor of Mathematics, University of Michigan College of Literature, Science, and the Arts and Research Professor, Computational Medicine and Bioinformatics, University of Michigan Medical School
Jay Lee: Clark Distinguished Professor and Director of Industrial AI Center, University of Maryland
Venkat Raman: Professor of Aerospace Engineering and Mechanical Engineering, University of Michigan College of Engineering.

Event page, talk abstracts, and more details: https://midas.umich.edu/ai-in-science/ai-in-science-day-2023/

Visit the MIDAS Colloquia Series webpage (midas.umich.edu/colloquia-series/) for information about this series of events.