Data Science & Engineering
Faculty Advisor: Dr. Vladimir Sobes
Research interests: Computational statistics; Bayesian statistics; data visualization; statistical & machine learning applications in the natural sciences
I am developing methods and tools for the uncertainty quantification of evaluations of experimental neutron cross section data in the resolved resonance range.
M.S. Operations Research from Air Force Institute of Technology; B.S. Operations Research from U.S. Air Force Academy