Jackson Jost

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I'm a research engineer at the intersection of applied probability, imaging science, and machine learning. I'm currently working at Advanced Imaging Laboratory on Photoreal, a real-time, physically correct 3D render engine.

I also enjoy cybersecurity, with an emphasis on cryptography. I competed on team 42-b3yond-6ug under Dr. Yinzhi Cao in DARPA's AIxCC competition, which was awarded $2 million in the semifinals and placed 6th overall. CTF competitions also have a special place in my heart; I currently play for the Musketears.

I completed my master's degree in Applied Mathematics (Statistics) at Johns Hopkins University, where I was very fortunate to be advised by Dr. Nandi Leslie and Dr. Holden Lee. My thesis explores a novel MCMC algorithm for Neural Architecture Search. Before that, I completed my bachelor's degree in Applied Mathematics and Neuroscience from Syracuse University.

Ask me about filmmaking and photography! Few pursuits are as rewarding; I actually started college as a film major. You can find my portfolio here.

I also have a blog where I post CTF writeups, among other things.