Skip to main content

Justin Peel

Salt Lake City, UT

Computational physicist turned software engineer and data scientist. Likes challenging problems and is good at finding the sources of problems efficiently. Has a large capacity for mental modeling of systems.

Loves learning new things. Has substantial knowledge in software architecture design, machine learning, digital signal processing, image processing, data mining and numerical optimization techniques.

Physics background includes internships at the Fermi National Accelerator Laboratory, the Princeton Plasma Physics Laboratory and Sandia National Laboratories and an M.S. in physics (all but doctorate). Graduate work was in computational physics, specifically working with various numerical techniques for approximately solving quantum many-body systems on lattices (DMRG and related techniques). Much of the math learned in physics has carried over to data science.

Top Answers
1 2 3 4