Stephen Desalvo is a software engineer with 11 years of experience who blends rigorous applied mathematics and statistics with practical engineering to tackle ill-defined, computation-heavy problems. Currently at Google, he has led data science and quantitative modeling efforts across industries—from channel-level attribution at Activision to microsimulation economic models at Praedicat. His background includes academic research and teaching in combinatorial probability and advanced C++ while mentoring students on applied projects for organizations like IPAM and Los Alamos. He is comfortable moving between theory and production code, implementing novel statistical techniques and establishing methodology guidelines for partner teams. Based in Los Angeles, he brings a rare combination of deep mathematical training (MS and PhD-level applied math/statistics) and hands-on product impact. Colleagues value his curiosity-driven approach to exploration and his ability to communicate complex technical results to business stakeholders.
11 years of coding experience
13 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at University of Southern California
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