R. J. Furnstahl

R. J. Furnstahl works in theoretical nuclear physics, developing mathematical and computational methods to understand the structure of atomic nuclei and neutron stars. A major focus is 'emulation' techniques and Bayesian statistical methods that make expensive nuclear physics calculations faster and help quantify uncertainty in predictions, such as nuclear scattering experiments and equations of state for dense matter. Students in this group would likely work at the intersection of nuclear theory, effective field theory (simplified approximate physics models), and statistical/machine-learning methods.

Publication output has remained fairly steady over the last decade, averaging around 9-10 papers per year in the last five years, with a dip in 2019 and a notable increase in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026