Emanuel Díaz
Principal Data Scientist
Bayamón, Puerto Rico, United States
Summary
👤
Senior🎓
Top SchoolEmanuel Díaz is a Principal Data Scientist with a PhD in Physics and nine years of experience applying advanced computational and statistical methods to manufacturing, finance, and quantum research. He designs real-time multivariate monitoring and predictive models at Eli Lilly, and previously developed AML models in the banking sector, demonstrating a rare blend of regulated-industry rigor and research-grade algorithmic skill. His doctoral work produced scalable Path Integral Monte Carlo and Lanczos algorithms that extended quantum entanglement studies to significantly larger systems, and an internship at Los Alamos yielded a 20% simulation speedup via novel sampling techniques. Comfortable translating theory into production, he pairs deep numerical expertise with practical experience teaching, orchestral performance, and frontline service work—evidence of strong communication, discipline, and adaptability. Based in Bayamón, Puerto Rico, Emanuel brings interdisciplinary curiosity and a track record of accelerating complex pipelines across science and industry.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of VermontMiddle School and High School Diplomas, Music, Middle School and High School Diplomas, Music at Escuela Libre de Musica de San JuanBachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at University of Puerto Rico, Río PiedrasDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Tennessee, Knoxville
English, Spanish
Github Skills (3)
integral7
lattice4
julia1
Programming languages (1)
Github contributions (5)
DelMaestroGroup/papers-code-pigsfli
Dec 2021 - Oct 2022
Contributions:28 commits, 11 pushes in 10 months
ecasiano/VariationalMonteCarlo
May 2019 - Jun 2019
Contributions:9 commits, 1 push in 1 month
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