Summary
Davio Cianci is a Senior Machine Learning Engineer with a decade of experience blending experimental particle physics, advanced ML, and data engineering to extract signal from noisy, large-scale datasets. Trained at Columbia and Manchester, he has built end-to-end analysis pipelines—from C++ data acquisition backends to PyTorch models and XGBoost classifiers—used across collaborative research projects. At industry roles including Tegus and AlphaSense he applies physics-grade rigor to production ML challenges while mentoring the next generation through bespoke, project-based science curricula. He pairs technical depth with creativity: outside work he writes fiction and designs game-like data projects, reflecting an ability to communicate complex ideas through compelling narratives. Colleagues know him for reframing problems when assumptions break, turning those moments into opportunities for novel solutions.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The University of Manchester
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Columbia University
Bachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at University of Chicago
English