Daniele Schiavazzi, Assistant Professor, Department of Applied and Computational Mathematics and Statistics, Notre Dame: Quantifying the uncertainty in cardiovascular digital twins through model reduction, Bayesian inference and propagation using model ensembles.

Sven Leyffer, Senior Computational Mathematician, MCS/ANL: Optimization for Machine Learning

Lulu Kang, Associate Professor, Department of Applied Mathematics, Illinois Institute of Technology
Dimension Reduction for Gaussian Process Models via Convex Combination of Kernels

Michael Servis, Postdoctoral Researcher, Washington State University: Advanced Modeling and Simulation of Solvent Extraction Systems - How Topological Data Analysis is Changing the Simulation Landscape

Hannah Morgan, Postdoctoral Appointee, MCS/ANL: The impact of noise on Krylov method performance

Prasanna Balaprakash, Computer Scientist (MCS & LCF, ANL): Scalable Reinforcement-Learning-Based Neural Architecture Search for Scientific and Engineering Applications

Partha Pratim Das, Professor, Department of Computer Science & Engineering, Indian Institute of Technology Kharagpu: SmartKT: A Search Framework to assist Program Comprehension using Smart Knowledge Transfer

Charlie Vanaret, Researcher, Fraunhofer ITWM: Solving distillation column equilibrium using interval methods

Jake Roth, Predoctoral Appointee, MCS/ANL: Cascading failures and energy landscapes for power systems

Ann Almgren, Group Lead, Center for Computational Sciences and Engineering, LBNL: AMR for Multiphysics Applications