Justin Burzachiello

PhD student in Mechanical and Aerospace Engineering; advised by Dr. Boris Krämer.

prof_pic.jpg

Jacobs Hall (EBU1), Rm 4205

9736 Engineers Ln

La Jolla, CA 92093

My research interests span scientific machine learning, tensor algebra, and high-performance computing, with broad applications in science and engineering.

I previously interned at the Department of Energy’s Oak Ridge National Laboratory facility as a SULI software engineer, where I developed verification and validation software for high performance computing. Later, I interned as an X‑ray CT systems engineer at VJ Technologies, where I worked on Monte Carlo simulation of radiation transport, X-ray-based non-destructive testing, in addition to setting up CT machines and a particle accelerator.

Before beginning my PhD in Mechanical and Aerospace Engineering at the University of California, San Diego, I graduated Magna Cum Laude with a B.S. in Physics from the University of California, Riverside and later with an M.S. in Computational Applied Mathematics from Stony Brook University.

news

Jun 07, 2025 I will attend the 2025 Structure–Preserving Scientific Computing and Machine Learning Summer School and Hackathon at the University of Washington, Seattle from 06/16–06/25, sponsored by the NSF. While there I will not only interact with leading experts in computational mathematics but also learn more about cutting–edge research in low–rank approximations, operator splitting, deep learning, and more.
Jan 04, 2025 I started my PhD in Mechanical and Aerospace Engineering at the University of California, San Diego.
In 2025, U.S. News and World Report ranked UCSD 10th among the nation’s top engineering schools and #1 for citations per publication among public universities in the US.
Dec 18, 2024 I recieved my M.S. in Computational Applied Mathematics from Stony Brook University.
In 2024, SBU was ranked 16th in Mathematics worldwide in the Academic Ranking of World Universities.