Paul Manns, Reserach Aide Technical, MCS/ANL
Approximation Techniques for Mixed-Integer PDE-Constrained Optimization

Oana Marin, Applied Mathematics Specialist, MCS/ANL
Adjoints in Boundary Integrals Constrained Optimization

Elise Jennings, Computer Scientist, LCF/ANL
Scientific Deep Learning: Reproducibility, Interpretability and Uncertainty Quantification

Sven Leyffer, Senior Computational Mathematician, MCS/ANL
Mixed-Integer PDE-Constrained Optimization

Kary Myers, Deputy Group Leader, CCS-6 Statistical Sciences Group, LANL
Partitioning a Large Simulation as it Runs

Johann Rudi, Argonne Scholar, MCS/ANL
Inference of Uncertain Parameters in Physical Models Governed by PDEs with Application to Earth’s Mantle Convection

Vivak Patel, Assistant Professor, Department of Statistics, University of Wisconsin – Madison
Practical Random Sketching

Alp Dener, Postdoctoral Appointee, MCS/ANL
Investigating Quasi-Newton Outer Product Representations on GPUs

Barry Smith, Senior Computational Mathematician, MCS/ANL
GPUs, Why They Are So Important and Why Everyone Hates Them

Matthew Otten, Maria Goeppert Mayer Fellowship – Argonne Scholar, NST/ANL
Quantum Machine Learning Using Kernels