Chen Institute Opens Public Registration for Symposium on AI Accelerated Science

Join Us in San Francisco, October 27-28!

REDWOOD CITY, Calif., June 9, 2025 /PRNewswire/ -- The Tianqiao and Chrissy Chen Institute today announced that free registration to attend "AIAS 2025: the Chen Institute Symposium for AI Accelerated Science" on October 27-28^th in San Francisco is now open at www.AIAS2025.org.

Jennifer Doudna, Nobel Laureate in Chemistry, Li Ka Shing Chancellor's Chair in Biomedical and Health Sciences, and a Professor of Biochemistry, Biophysics and Structural Biology at UC Berkeley and David Baker, Nobel Laureate in Chemistry, Head of the Institute for Protein Design, and the Henrietta and Aubrey Davis Endowed Professor in Biochemistry at University of Washington will be on stage with well-known academics and industry leaders.

Other confirmed speakers include:

• Animashree Anankumar
  Bren Professor of Computing and Mathematical Sciences at Caltech

• Jia Deng
  Associate Professor of Computer Science and Director of the Princeton Vision and Learning Lab at Princeton University

• Sham Kakade
  Gordon McKay Professor in Computer Science at Harvard University, with a joint appointment in the Department of Statistics.

• Heather J. Kulik
  Lammot du Pont (1901) Prof of Chemical Engineering Professor of Chemistry at MIT

• Zhandong Liu
  Chief of Computational Sciences, Texas Children's Hospital

• Tom Miller
  Co-founder and CEO at Iambic Therapeutics

• Omar M. Yaghi
  James and Neeltje Tretter Professor of Chemistry at UC, Berkeley

Speakers at the Symposium will explore how core advancements in AI are accelerating exciting progress in science. They will highlight transformative AI innovations that enable new modes of inquiry, hypothesis generation, and experimentation across scientific disciplines. Specific areas of interest include:

• Foundational Models: Research on large-scale, pre-trained models that serve as general-purpose engines for scientific reasoning, prediction, and simulation
• Long-Term Memory Mechanisms: Innovations in memory architectures that enable persistent knowledge representation, context retention, and lifelong learning in AI systems
• Synthetic Data Generation: Novel techniques for creating high-fidelity synthetic datasets that augment or replace empirical data in research pipelines
• Research Process Automation: AI tools and frameworks that automate experimental design, data analysis, literature synthesis, or other components of the scientific workflow

Attendance is free, however registration is required. Registrants will receive regular program updates and other helpful information about the Symposium.

Register today at: www.AIAS2025.org

About the Tianqiao and Chrissy Chen Institute

The Tianqiao and Chrissy Chen Institute, established in 2016 by philanthropists Tianqiao Chen and Chrissy Luo, seeks to improve the human experience by understanding how our brains perceive, learn, and interact with the world. Based in the Bay Area, the Chen Institute advances scientific research, particularly in neuroscience, aging, and artificial intelligence by working with top academic and research institutions globally. It also supports initiatives in AI development, emphasizing its potential to enhance human well-being.

For more information:

• AIAS 2025: www.AIAS2025.org
• Chen Institute: www.cheninstitute.org
• Chen Institute and Science Prize for AI Accelerated Research: www.cheninstitute.org/prize

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SOURCE Tianqiao & Chrissy Chen Institute