Philip Mocz
Vice President, Quantitative Software Engineer
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPhilip Mocz is a quantitative software engineer and Vice President at Two Sigma with nine years of experience translating computational astrophysics and physics research into production-grade scientific software. He built his technical foundation through a PhD in Astrophysics at Harvard and successive research fellowships at Princeton and national labs, where he combined high-performance computing, simulation, and AI methods. At the Flatiron Institute and Lawrence Livermore he shipped research-oriented tooling that bridged domain science and scalable engineering, and now applies that expertise to quantitative systems in finance. He is equally comfortable in research and production contexts, able to move models from prototype to robust, auditable pipelines. Philip’s background implies deep familiarity with numerical methods, GPU-accelerated code, and reproducible research practices—skills that often go unremarked in traditional software resumes. Based in New York, he blends academic rigor with practical product delivery to solve complex, data- and compute-intensive problems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Astrophysics, Doctor of Philosophy (PhD) Astrophysics at Harvard University
English, Hungarian, Spanish
Github Skills (90)
astronomy10
computational-science10
parallel-computing10
cpp10
amr10
scientific-computing10
orbital-mechanics10
scalable10
astrophysics10
stellar10
astrodynamics10
cosmology10
lists10
fortran10
c-library10
Programming languages (9)
Github contributions (5)
pmocz/finitevolume-python
Sep 2020 - Jan 2022
Finite Volume simulation of the Kelvin-Helmholtz Instability
Contributions:3 commits, 1 PR, 4 pushes in 1 year 4 months
chemical-engineeringfinite-volumekelvinvolumesimulation
pmocz/pmocz.github.io
Mar 2017 - Jan 2023
Contributions:142 commits, 181 pushes, 1 branch in 5 years 11 months
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