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