Freddy Obrecht

Research Data Scientist

Washington DC-Baltimore Area United States
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Summary

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Senior
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Top School
Freddy Obrecht is a research data scientist with 11 years of experience applying statistical analysis, machine learning, and large-scale scientific computing to complex problems in physics and reverse software engineering. Holding a PhD in particle physics, he has built high-performance C++ analysis chains, Monte Carlo simulations, and clustering algorithms to extract weak signals from TB-scale experimental data. At Johns Hopkins APL he leads efforts on graph neural networks, translating decompiled C into symbolic math, and advancing deep learning on homomorphically encrypted data—demonstrating a rare blend of applied cryptography and program-understanding research. He pairs practical skills in Linux cluster automation, OCR, and data visualization with a knack for turning messy, multi-source datasets into actionable models. Colleagues rely on him for principled, reproducible analysis and for turning domain-specific research challenges into production-capable algorithms.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Physics, Master's degree, Physics at University of Connecticut
bookBachelor of Arts - BA (Double major), Physics, Geophysics and Planetary Science, Bachelor of Arts - BA (Double major), Physics, Geophysics and Planetary Science at Boston University
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Github Skills (3)

simulation10
css4
javascript3

Programming languages (2)

C++JavaScript

Github contributions (5)

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freddyox/freddyox.github.io

Apr 2018 - Mar 2020

A website to display my various side projects.
Contributions:2 PRs, 83 pushes, 2 branches in 1 year 10 months
cssjavascriptside-projects
freddyox/pong-dev

Jul 2015 - Feb 2019

Contributions:13 pushes, 1 branch in 3 years 8 months
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Freddy Obrecht - Research Data Scientist