IDRE Fellow

This in-person workshop will introduce the UCLA research community to the emerging class of Time Series Foundation Models (TSFMs) and their application to sustainability challenges such as electricity grid carbon intensity forecasting. Participants will gain hands-on experience with TSFM frameworks, open-source datasets (e.g., ElectricityMaps), and computational tools designed to enable accurate, generalizable forecasting without requiring...

This workshop will introduce researchers to cutting-edge machine learning (ML) methods that are transforming computational chemistry and materials science. Participants will learn how ML models can accelerate atomistic simulations, bridging the gap between quantum-level accuracy and realistic system sizes. The session will highlight practical workflows, including training potentials on quantum mechanical data, developing ensembles of...

This workshop will explore how artificial intelligence is used to reconstruct biomedical microscopy data, emphasizing both the opportunities and the risks of these approaches. While AI has enabled remarkable advances in virtual staining, super-resolution, and image translation, biomedical imaging presents unique challenges that make hallucinations far more consequential than in other domains. A false structure...

This workshop will introduce the UCLA research community to the application of diffusion probabilistic models for medical imaging problems, with a focus on MRI. Participants will learn both the fundamentals of diffusion models (Gaussian vs. cold diffusion, measurement-conditioned models) and how they can be adapted to physics-constrained scenarios, such as k-space undersampling in MRI. Demonstrations...

This workshop introduces core methods for generating high-quality meshes used in large-scale simulation, scientific computing, and computer graphics. We will explore how Voronoi tessellation and Delaunay triangulation form the foundation of modern meshing algorithms, how parallel computing enables scalable geometry processing, and how emerging learning-based approaches can learn to generate meshes directly from data. The...