Carlo Graziani, Computational Scientist: Better Forecasting Through Information Theory

Todd Munson, MCS Division, Argonne National Laboratory, Computational Scientist
The Toolkit for Advanced Optimization: Past, Present, and Future

Mathew Cherukara , Postdoctoral Associate (XSD): 4D X-ray Imaging and Computational Modeling of Lattice Dynamics at the Nanoscale

Ahmad Taha, Assistant Professor, Univ. of Texas at San Antonio: Cherry-Picking Control Nodes and Sensors in Dynamic Networks: Mixed-Integer Programming Formulations, Heuristics, Applications, and Challenges

Matt Menickelly, Postdoctoral Appointee, MCS Division: Cardinality-Constrained Sparse Inverse Covariance Estimation: An Algorithm and an Application to Anomaly Localization

Paul Hovland, Deputy Division Director, MCS/ANL: Why Should I Care about Quantum Computing?

Anshu Dubey, Computer Scientist, Argonne National Laboratory: The FLASH Code and Two Decades of Science

Richard Mills, Principal Computational Engineer, MCS/ANL: Scalable Unsupervised Learning Approaches for Analysis of Large Geospatiotemporal Datasets

Daniel A. Tortorelli, Director for the Center of Design and Optimization, (LLNL); George B. Grim Professor of Mechanical S: Computational Design Optimization

Mirko Hahn, Predoctoral Appointee, MCS/ANL: Set-valued steepest descent for binary topology and control optimization