David Bindel, Associate Professor of Computer Science, Cornell University: Understanding graphs through spectral densities

Kamil Khan, Assistant Professor, Department of Chemical Engineering, McMaster University: Advances in bounding methods for use in global optimization

Mladen Kolar, Associate Professor of Econometrics and Statistics, University of Chicago Booth School of Business: Estimation and Inference for Differential Networks

Kevin Gimpel, Assistant Professor, Toyota Technological Institute at Chicago: From Paraphrase Modeling to Controlled Generation

Veronika Rockova, Assistant Professor of Econometrics and Statistics, University of Chicago Booth School of Business: Theory for BART

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