About Me
I grew up in the D.C. metro area, before attending the University of Minnesota where I double majored in chemical engineering and chemistry. As an undergraduate I worked as a process engineering intern at Polar Semiconductor Inc. and conducted research in synthetic organic chemistry in the Noland Research Group. It was during my junior year that I was first exposed to scientific computing in a numerical methods course and also became interested in nuclear energy as a way to mitigate climate change.
These interests lead me to join the Computational Nuclear Engineering Research Group at the University of Wisconsin, where I earned my Ph.D. in nuclear engineering. As a graduate student, I had coursework in advanced mathematics, numerical methods, algorithms, and high-performance computing. I gained nuclear engineering analysis experience performing calculations in support of the SHINE Medical Technologies medical isotope facility. My software development skills matured as a leading contributor to the Python for Nuclear Engineering Toolkit and as an intern at ORNL working on the ADVANTG code. My dissertation research focused on optimizing Monte Carlo simulations for biological dose rate calculations for nuclear fusion reactors by approximating the nuclear transmutation process.
Contact Details
elliott.biondo@gmail.comveb@ornl.gov
