Summary
Alex Fitts is a data scientist and former astrophysics researcher with a decade of experience turning massive, distributed scientific datasets into actionable insights. He holds a PhD in Astrophysics and built and analyzed 100+ TB simulation outputs on 1000+ process supercomputing clusters, skills he now applies to cyber analytics at PUNCH. Technically fluent in the Python SciPy stack, PyTorch/FastAI, OpenCV, NLP tools, and SQL, he bridges deep learning, computer vision, and statistical modeling to solve complex detection and classification problems. Comfortable across hardware and software layers, he has practical experience with low-level data formats (HDF5, binary) and high-throughput scripting and pipelines. Based in Silver Spring, MD, he blends academic rigor with product-minded engineering, often translating novel research methods into production-ready analytics. Colleagues describe him as goal-oriented and self-driven, with a knack for adapting astronomy-scale data techniques to real-world cyber and data science challenges.
10 years of coding experience
Doctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at The University of Texas at Austin
The University of Maryland, College Park
Bachelor of Science - BS, Physics, cum laude, Bachelor of Science - BS, Physics, cum laude at University of Connecticut
English