David Katz is a computational biologist in the EpiFluid Lab. He joined EpiFluidLab at 2023. Before that, David received a Ph.D. in Mathematics from Purdue University in 2022 and B.A. in Mathematics from Princeton University in 2014. David’s graduate work was in applied algebraic geometry. He specialized in finding optimal low-rank tensor decompositions. He is now applying his background to modeling biological pathways and analyzing epigenetic data.
David Katz's papers