James Diffenderfer earned his B.S. and M.S. in Mathematics from Georgia Southern University in 2011 and 2013, respectively. After working as a collegiate mathematics instructor for a few years, he completed a M.S. in Computer Science and Ph.D. in Applied Mathematics at the University of Florida in 2020. While at the University of Florida, he worked on the theoretical development and implementation of solvers for nonlinear optimization problems under his advisor Dr. William Hager. Additionally, while at the University of Florida he worked as an intern for LLNL contributing to error analysis for ZFP compression.

J. Diffenderfer, B. Kailkhura, Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network, ICLR (2021).

A. Fox, J. Diffenderfer, et. al., Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods, SIAM J. Sci. Comput., 42(5), A2701–A2730 (2020).

J. Diffenderfer, A. Fox, et. al., Error Analysis of ZFP Compression for Floating-Point Data, SIAM J. Sci. Comput., 41(3), A1867-A1898 (2019).