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Jaime Marian - Modeling and Simulation Techniques for Structural Materials Under Fusion Conditions
Presenter
- Jaime Marian
March 12, 2026
IPAM
Andrea Bertozzi - Machine Learning for High Throughput DNA-Aptamer Screening and Selection
Presenter
- Andrea Bertozzi
February 24, 2026
IPAM
Terence Tao - Machine assistance and the future of research mathematics - IPAM at UCLA
Presenter
- Terence Tao
February 10, 2026
IPAM
Chris Anderson - Domain decomposition & parameterized effective boundary conditions for Poisson
Presenter
- Chris Anderson
October 31, 2025
IPAM
Chong Liu - An experimentalist's (primitive) view of stochasticity in electrochemistry
Presenter
- Chong Liu
October 10, 2025
IPAM
Daniel Schwalbe-Koda - Scales in Material Modeling w/ Atomistic Sim, Info Theory, & Generative Model
Presenter
- Daniel Schwalbe-Koda
October 9, 2025
IPAM
Fuqun Han - Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems
Presenter
- Fuqun Han
July 23, 2025
IPAM
Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs
Presenter
- Tingwei Meng
July 17, 2025
IPAM
Jiajia Yu - Learning and Inference in Mean-Field Games - IPAM at UCLA
Presenter
- Jiajia Yu
July 16, 2025
IPAM
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport
Presenter
- Stanley Osher
July 14, 2025
IPAM
Aaron Palmer - Non-Commutative Optimal Control and Viscosity Solutions - IPAM at UCLA
Presenter
- Aaron Palmer
May 2, 2025
IPAM