Please join us for ICME's 20th Anniversary Research Symposium on Thursday, November 21!
The symposium will showcase ICME’s achievements over the past twenty years and will chart a course for future endeavors in this dynamic and rapidly evolving field. The event will include presentations by Stanford faculty members, industry affiliates, lightning talks and poster sessions by current graduate students. This is a unique opportunity to see how computational mathematics, data science, machine learning, scientific computing, and related fields are applied across a wide range of domain areas.
Stanford community members and ICME Education Affiliate members are invited to participate. For more information on how to register, please contact icme-contact@stanford.edu.
Agenda
| 8:00 AM | NETWORKING BREAKFAST |
| 9:00 AM | OPENING REMARKS & WELCOME - Eric Darve Professor of Mechanical Engineering and Director of the Institute for Computational & Mathematical Engineering (ICME)
|
| 9:15 AM | FACULTY VISION TALKS - Computational Mathematics for Natural Hazards Modeling
Eric M. Dunham, Professor of Geophysics - Neural Approaches for 3D Understanding and Generation
Leonidas Guibas, Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering - Digital Twins for Cardiovascular Treatment Planning
Alison Marsden, Douglass M. and Nola Leishman Professor of Cardiovascular Diseases, Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering
|
| 10:30 AM | NETWORKING & COFFEE BREAK |
| 10:45 AM | STANFORD PLENARY - Statistical Methods for Assessing the Factual Accuracy of Large Language Models
Emmanuel Candès, Barnum-Simons Chair of Mathematics and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
|
| 11:15 AM | PHD LIGHTNING TALKS - Can Transformers Solve Least Squares to High Precision?
Jerry Liu - Efficient Optimization and Simulation Procedures for Rare Event Probabilities in Power Systems
Anish Senapati - Evaluating Genetic Engineering Trade-Offs through Whole-Cell Modeling of Escherichia coli
Riley Juenemann - LABOR-LLM: Language-Based Occupational Representations with Large Language Models
Tianyu Du
|
| Noon | LUNCH & POSTER SESSIONS |
| 1:30 PM | INDUSTRY PLENARY - Navigating Generative AI Challenges and Harnessing Potential: Insights from NVIDIA’s Enterprise Deployments
Rama Akkiraju, Vice President of AI/ML for IT, NVIDIA
|
| 2:00 PM | FACULTY PRESENTATIONS - Leverage Deep Learning to Advance Climate Science and Mathematical Sciences
Ching-Yao Lai, Assistant Professor of Geophysics - Genomics as a Statistical Signal, Featurized for Biological Discovery With Deep Learning
Julia Salzman, Associate Professor of Biomedical Data Science, of Biochemistry and, by courtesy, of Statistics and of Biology - Causal Machine Learning
Vasilis Syrgkanis, Assistant Professor of Management Science and Engineering and, by courtesy, of Computer Science and Electrical Engineering - AI and the Future of Optimization
Madeleine Udell, Assistant Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering
|
| 3:30 PM | INDUSTRY CLOSING KEYNOTE - Frank Ham, Vice President Cascade R&D, Cadence Design Systems
|
| 4:00 PM | CLOSING REMARKS - Eric Darve Professor of Mechanical Engineering and Director of the Institute for Computational & Mathematical Engineering (ICME)
|
| 4:30 PM to 6:30 PM | RECEPTION |
