Javier Pardo is a data science leader with nine years of experience and a PhD in Theoretical Particle Physics, currently serving as Director I, Data Science at Liberty Mutual in Boston. He translates advanced statistical and machine learning methods into business impact, having led projects from demand prediction and pricing optimization to survival analysis for preventive maintenance. His academic work produced a widely used Mathematica package (SusyHD) and demonstrates a track record of high-performance numerical computing and model fitting at scale. Comfortable bridging research and production, he combines deep quantitative rigor with product-focused delivery across insurance, finance, retail, and consulting engagements. Notably, his background in quantum field theory and Monte Carlo simulation gives him unusual expertise in complex probabilistic modeling and computational optimization.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree, High Energy Physics, 3.9/4.0, Master’s Degree, High Energy Physics, 3.9/4.0 at International Centre for Theoretical Physics (ICTP), Italy
Doctor of Philosophy (Ph.D.), Theoretical Particle Physics, 4.0/4.0, Doctor of Philosophy (Ph.D.), Theoretical Particle Physics, 4.0/4.0 at International School for Advanced Studies (SISSA), Italy
Bachelor’s Degree, Physics, 4.0/4.0, Bachelor’s Degree, Physics, 4.0/4.0 at University of Havana
Contributions:1 push, 6 branches in 2 years 5 months
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