Summary
Zachary Schillaci is a Director of Data Science based in Geneva with a Ph.D. in Particle Physics and dual U.S.–Italian citizenship, who has spent seven years turning high-energy physics expertise into production-ready ML and NLP systems. He led AI efforts at Effixis/Artefact, delivering end-to-end machine learning solutions for clients and internal products, and now oversees data science strategy at Artefact. His background at CERN and Brookhaven involved terabyte-scale data processing, custom C++/Python frameworks, and uncertainty-aware statistical modeling for the ATLAS Collaboration. Zachary combines research-grade rigor—designing algorithms and optimizing low-level software for performance—with practical deployment experience across consulting engagements. Notably, he has navigated leadership roles inside 100+ person international collaborations, translating complex scientific workflows into scalable engineering practices. Fluent in bridging academic research and commercial impact, he excels at extracting signal from noisy, high-dimensional datasets.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Bucknell University
Physics, Physics at The University of Edinburgh
Doctor of Philosophy (Ph.D.), Elementary Particle Physics, Doctor of Philosophy (Ph.D.), Elementary Particle Physics at Brandeis University
English, French