Summary
Marco De Mattia is a Senior Staff Data Scientist with 12 years of experience applying machine learning, statistics, and high-performance software engineering to very large scientific and industrial datasets. He holds a Ph.D. in Experimental Particle Physics and played leading roles in CMS experiments, co-authoring pivotal analyses tied to the Higgs-era discoveries and extracting extremely rare signals from quadrillions of events. At KoBold Metals and previously ExxonMobil, he translates domain problems into production-grade models and simulations, leveraging Monte Carlo methods, FPGA-aware algorithms, and scalable data pipelines. He has a strong track record building low-latency, high-throughput systems—from associative-memory fast tracking to Grid-distributed analysis—and writing C++/Python libraries that bridge research and production. Known for mentoring and cross-functional leadership, he routinely leads teams through complex calibration, trigger and algorithm development efforts. Based in Houston, he combines academic rigor with industry pragmatism, often optimizing both algorithmic accuracy and real-world performance trade-offs.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Università degli Studi di Padova
Laurea Physics, Laurea Physics at Sapienza Università di Roma
Italian, English