Brandon Kriesten

Brandon Kriesten is a Research Fellow in the High Energy Physics theory group at Argonne National Laboratory, where he advances theoretical physics through computational methods and AI-augmented approaches to Quantum Chromodynamics (QCD).

His educational background includes:

• B.S. in Physics from The College of William and Mary, Williamsburg, VA (2015)
• Ph.D. in Physics from the University of Virginia, Charlottesville, VA (2021)

Dr. Kriesten specializes in non-perturbative QCD, employing machine learning and data analysis to solve inverse problems in hadron structure studies. His research integrates uncertainty quantification to interpret AI-learned QCD theories, bridging high-energy physics with cutting-edge computational techniques. Current projects focus on AI-integrated methodologies for high energy physics calculations, contributing to Argonne's mission in discovery science and advanced computing.

As a member of the Theoretical High Energy Physics organization, he collaborates within Argonne's research ecosystem, leveraging national user facilities to explore fundamental particle interactions and expand theoretical frameworks in modern physics.