Summary
Zack Carson is a data scientist with a decade of experience applying statistical and machine learning methods across industry and academic settings, currently building models at Dataminr. He earned a PhD in Physics from the University of Virginia, where his research used gravitational-wave observations to test general relativity and probe neutron-star interiors, and previously developed ML tools for high-energy physics and quantum optics experiments. Zack combines strong numerical skills in C++, Fortran, and scientific computing with production-focused data science practice, having transitioned from research into applied ML at startups like Truu. Based in Broomfield, Colorado, he brings a rare blend of deep theoretical physics intuition and practical engineering chops to complex signal and anomaly-detection problems. Outside work he channels his technical curiosity into violin performance, amateur astronomy with his telescope, and developing playable Unity games—demonstrating both creativity and an appetite for hands-on systems.
10 years of coding experience
3 years of employment as a software developer
The University of Utah
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Virginia