Levent Sagun
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolLevent Sagun is a Postdoctoral Research Fellow based in New York with 11 years of experience at the intersection of probability theory, statistical physics, and deep learning. He holds a PhD in Mathematics from NYU and contributes to high-impact research such as the Simons Collaboration on Cracking the Glass Problem while bringing industry experience from a research internship at FAIR. His applied work spans machine learning in the social sciences and legal studies, and he has improved educational ML materials (notably polishing visualizations in a popular mlcourse repository). Known for bridging rigorous theory with practical ML tooling, he combines deep mathematical foundations with a knack for clarifying complex concepts through visualization.
11 years of coding experience
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at New York UniversityIstanbul Erkek LisesiBachelor of Science - BS, Mathematics and Physics, 3.92/4.00, Bachelor of Science - BS, Mathematics and Physics, 3.92/4.00 at Boğaziçi University
English, French, Turkish
Github Skills (8)
data-visualizations10
machine-learning10
data-visualization10
data-visualisation10
courses-resource10
python10
matplotlib10
numpy9
Programming languages (4)
Github contributions (5)
davidrosenberg/mlcourse
Jan 2016 - Apr 2016
Machine learning course materials.
Role in this project:
Data Scientist
Data ScientistContributions:13 commits, 11 pushes in 2 months
Contributions summary:Levent's contributions primarily focus on updating and improving plots within the machine learning course materials. They modified and updated code related to generating plots, specifically those related to SVM and linear surfaces. The updates appear to involve refining the visualization of machine learning concepts for educational purposes.
machine-learning
nyu-dl/dl4ir-searchQA
Apr 2017 - Aug 2018
Contributions:10 commits, 14 pushes, 1 comment in 1 year 4 months
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