Alex is a current graduate student at Oregon State University in Corvallis, where he studies physics with a focus in astronomy. His research interests are in black hole astrophysics, specifically studying the properties of compact objects, population dynamics, and numerical relativity. His goal is to work on simulating the emergent properties of primordial black holes and to study the evolution of supermassive black hole binaries using the NANOGrav 20-year dataset. He is proficient in applying machine learning paradigms to astrophysical problems, with a robust background in computer programming and algorithmic design. Alex is passionate about reproducible research and utilizing free and open source software in scientific development, as well as modernizing scientific computing. Outside of work, he enjoys gravel and mountain biking, building custom PCs, working on old Toyotas, and drawing.
PhD Physics (Astronomy)
Oregon State University
BS Physics
University of Central Florida
BS Computer Science
University of Central Florida
We demonstrated how normalizing flows (NFs) can outperform GPs in being an emulator of the ensemble distribution (over many Universes) of the GWB characteristic-strain. Through the …
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