Invited Speakers

• Marta D'Elia, Institute for Computational and Mathematical Engineering (ICME)
  

  Marta D'Elia is the Director of AI and ModSim at Atomic Machines and an Adjunct Professor at Stanford University, ICME. She previously worked at Pasteur Labs, Meta, and Sandia National Laboratories as a Principal Scientist and Tech Lead. She holds a PhD in Applied Mathematics and master's and bachelor's degrees in Mathematical Engineering. Her work deals with design and analysis of machine-learning models and optimal design and control for complex industrial applications. She is an expert in nonlocal modeling and simulation, optimal control, and scientific machine learning. She is an Associate Editor of SIAM and Nature journals, a member of the SIAM industry committee, the Vice Chair of the SIAM Northern California section, and a member of the NVIDIA advisory board for scientific machine learning.

  
  
• Iuri B.C.M. Rocha, TU Delft, The Netherlands
  

  Iuri Rocha is assistant professor at the Faculty of Civil Engineering and Geosciences at TU Delft, The Netherlands. He is co-director of the SLIMM lab (Statistical Learning for Intelligent Material Modeling) where together with his team he looks into combining Bayesian machine learning and deep learning with computational solid mechanics, with special focus on hybrid architectures combining the best parts of physics-based and data-driven models. He obtained his PhD in 2019 from TU Delft and his MSc and BSc from the Federal University of Ceara (Brazil).