Scientific Foundation Models

Organized by MICDE, April 2nd and 3rd, Ann Arbor, MI.

The MICDE 2024 Annual Symposium marks a significant moment in the evolution of scientific inquiry and exploration. This symposium will be focused on scientific foundation models (SciFM) that aim to have a similar transformative impact on science as Generative AI has had on natural language. SciFM are parameterized physical theories which are usually trained on broad-range of scientific data and capable of being applied to a range of downstream tasks, such as discovering patterns and generating scientific hypotheses, insights, and engineering designs.

This event is the first of its kind, dedicated exclusively to this exciting and nascent field. By congregating the world’s foremost experts in the field, the symposium aims to significantly broaden the horizons of scientific foundation models and Generative AI (including LLMs) for science.


Jason Pruet, Director of National Security AI,  Los Alamos National Laboratory

Ian T. Foster, Director of Data Science and Learning Division, Argonne National Laboratory

Animashree Anandkumar, Bren Professor of Computing at Caltech & Director of Machine Learning Research, NVIDIA

Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science at Princeton & Director of Princeton Language & Intelligence

Petros Koumoutsakos, Herbert S. Winokur, Jr. Professor of Computing in Science and Engineering, Harvard University

Venkat Viswanathan, Associate Professor of Aerospace Engineering, University of Michigan

Rick L. Stevens, Associate Laboratory Director for Computing, Environment, and Life Sciences, Argonne National Laboratory & Professor of Computer Science, University of Chicago

Michael Mahoney, Professor of Statistics, UC Berkeley & Leader of the Machine Learning and Analytics Group, Lawrence Berkeley National Laboratory & Vice President and Director of Big Data Group, International Computer Science Institute

Arvind Ramanathan, Computational Biologist in the Data Science and Learning Division, Argonne National Laboratory & Senior Scientist, University of Chicago Consortium for Advanced Science and Engineering

Payel Das, Research Staff Member and Manager, AI Science,  IBM T. J. Watson Research Center


More speakers/panelists will confirmed soon.


    Details are coming soon.



      Details are coming soon.



        The poster competition will open soon.


          Details are coming soon.



              Registration will open on December 10, 2023.