Nicholas Schwarz

Nicholas Schwarz is a Principal Computer Scientist at Argonne National Laboratory, where he leads strategy and programs at the intersection of artificial intelligence, data, and large-scale scientific computing at the Advanced Photon Source (APS). His work focuses on enabling new modes of scientific discovery by integrating advanced computing capabilities with experimental and observational facilities.

He leads the development and execution of the APS scientific computing strategy, spanning artificial intelligence and machine learning, data systems, scientific software, high-performance computing, and facility-scale infrastructure. In this role, he coordinates efforts across groups, divisions, and directorates to address rapidly increasing data volumes and to enable real-time analysis, adaptive experimentation, and AI-driven scientific workflows.

Nicholas chairs cross-facility committees spanning U.S. Department of Energy light and neutron sources, where he helps guide shared strategy, align investments, and advance common approaches to data and computing infrastructure. He also leads laboratory-wide initiatives to integrate experimental facilities with leadership-class supercomputing resources, serving as a model for the convergence of scientific instruments and advanced computing at national scale.

In addition, he co-organizes the annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP), held in conjunction with the SC conference, and regularly convenes and collaborates with national and international partners on AI-enabled scientific infrastructure and data-intensive research.

Prior to joining Argonne, Schwarz developed control and analysis software for advanced biomedical imaging systems at Northwestern University.

Education

• Computer Science, M.S., University of Illinois at Chicago, 2007
• Computer Science, B.S., University of Illinois at Chicago, 2003