Lionel Yelibi
PHD Candidate
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolLionel Yelibi is a machine learning scientist and PhD candidate in statistics with eight years of experience applying ML to defense, asset management, and financial services, most recently as a research scientist at Discover and a lead researcher at Capital One. He builds production-ready clustering, factor and monitoring frameworks that reduced credit risk and supported AML model governance, and his academic work on physics-inspired clustering (f-SPC) has been published and presented in research venues. Comfortable shifting between research and engineering, Lionel has implemented RL and CNN projects for simulation environments and delivered end-to-end ML pipelines that cut defect rates in industrial settings. Based in Houston, he blends theoretical depth from a physics and statistics background with practical impact in regulated industries, and actively seeks collaborations on challenging academic and applied problems.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Cape TownThe Oxford Summer School in Economic Networks, Mathematics, The Oxford Summer School in Economic Networks, Mathematics at University of OxfordBachelor's degree, Theoretical Physics, Bachelor's degree, Theoretical Physics at Purdue University
English, French
Stackoverflow
43reputation
2kreached
1answer
3questions
Github Skills (23)
artificial-intelligence9
machine-learning8
deep-learning7
sender6
scip6
parallel-processing6
cnc6
masking6
linear-algebra6
gcode6
python6
boolean6
numpy6
java6
neighbors3
Programming languages (2)
Github contributions (5)
lyelibi/timeseries_generator
Apr 2020 - Jun 2024
Contributions:11 pushes, 1 branch in 4 years 3 months
lyelibi/potts-model-clustering
Sep 2018 - Oct 2021
Contributions:26 commits, 17 pushes in 3 years 1 month
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