Esteban León
Senior Data Scientist
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEsteban León is a Senior Data Scientist with a PhD in Physics from UNC-Chapel Hill and six years of experience applying machine learning and statistical methods to high-stakes scientific and healthcare problems. He built deep learning and classical classification pipelines for the LEGEND neutrinoless double-beta decay experiment, improving signal/noise discrimination and characterizing detector dead layers through rigorous Monte Carlo-to-data fits. Now at Analysis Group he leverages GenAI, big data processing, and high-performance computing to accelerate HEOR research and automate targeted literature reviews. Comfortable moving between research-grade physics instrumentation and production analytics, he combines hands-on detector work (including producing ultra-clean cables for deployed detectors) with scalable model development. Colleagues value his rare blend of experimental rigor and practical AI engineering, rooted in a dual background in physics and economics.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Physics and Economics, 3.79 / 4.0, Bachelor of Science - BS, Physics and Economics, 3.79 / 4.0 at Davidson CollegeDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of North Carolina at Chapel Hill
English, Spanish, French
Github Skills (16)
decay9
digital-signal-processing9
double8
vectorization7
signal-processing7
physics6
python6
julia6
neutrino5
machine-learning5
pandas4
scientific-computing4
data-processing4
big-data3
data-analysis3
Programming languages (4)
Github contributions (5)
esleon97/pygama
Nov 2020 - Jun 2024
Python package for decoding and processing digitizer data
Contributions:39 PRs, 70 pushes, 17 branches in 3 years 7 months
digitizerpython-packagepythondecoding
esleon97/gem
Nov 2020 - Jun 2024
Germanium Machine Learning is the collective machine learning project repository for Ge based neutrinoless double beta decay experiments.
Contributions:6 PRs, 24 pushes, 3 branches in 3 years 7 months
learning-projectdoublemachine-learningdecaycollective
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