Summary
Kiriakos Hilbert is a Senior Data Scientist in Chicago with eight years of experience applying physics-first thinking to industrial-scale data problems. He builds real-time anomaly detection and diagnostic ML systems for multivariate time series, blends signal processing and forecasting with statistical modeling, and has implemented PDE solvers to monitor wave propagation in downhole well environments. His background includes a PhD in physics and research on inflationary cosmology, giving him deep expertise in numerical simulation, regularization of divergences, and translating complex physical models into production-ready code. Kiriakos mentors junior data scientists and routinely bridges academic rigor with pragmatic engineering during client-facing demonstrations, making him effective at turning advanced theory into operational savings. An unusual strength is his track record moving from high-energy and cosmology research to hands-on sensor and detector work, enabling him to optimize both algorithms and hardware-informed preprocessing.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science in Physics, Minor in German, Bachelor of Science in Physics, Minor in German at Massachusetts Institute of Technology
Master of Science - MS, Physics, Master of Science - MS, Physics at University of Illinois Urbana-Champaign
German, Greek, Japanese, English