Location: Atlanta Remote: Yes, or in person in Atlanta Willing to relocate: no Technologies: Julia, LaTeX, Nix and NixOS, many command line tools

Location: Atlanta Remote: Yes, or in person in Atlanta Willing to relocate: no Technologies: Julia, LaTeX, Nix and NixOS, many command line tools Résumé: https://www.bencide.com/resume.pdf Email: jobs@bencide.com I have recently completed my PhD in mathematics at Georgia Institute of Technology. My mathematical experience revolves around mathematical modeling. I've done novel work in mathematical immunology where I needed to quickly go from novice to expert on the topic of the germinal center reaction and B-cell affinity maturation. I frequently use differential equations as necessary for the problem at hand. I've used linear programming, PDE accelerated gradient descent, and global optimization by intermittent diffusion (an SDE technique related to, but applied in different scenarios than, simulated annealing). I am comfortable using differential equations in all forms (ODE, PDE, SDE, DDE, etc.) and multiple kinds of optimization to numerically study your problem domain. Beyond what I've specifically worked on, I'm less experienced in but have interest in applied category theory, ML/AI, and quantum error correcting codes (Julia package in progress at https://www.github.com/esabo/CodingTheory https://www.github.com/esabo/CodingTheory ). I use the Julia language regularly, but am happy to learn any other language (I also have passing experience in C and lisp). I'm more interested in transitioning to industry for the broad range of immediately useful things I could do, so please don't think that I'm limited to a particular problem domain! I'd love to hear from you in any problem domain where my skills could be useful!