Nathan Levy
PhD Candidate
Tel-Aviv District, Israel
Summary
🤩
Rockstar🎓
Top SchoolNathan Levy is a PhD candidate in computer science at the Weizmann Institute, researching deep learning applications in computational biology after earning an MSc in Data Science & Applied Mathematics from ENS Paris-Saclay. With four years of research and technical experience, he combines rigorous mathematical training (Mines Nancy, École normale supérieure) with hands-on biomedical engineering exposure from Technion and Cornell Tech. His work sits at the intersection of data-driven modeling and life sciences, translating advanced ML methods into biologically meaningful insights. A strong academic record and international training across France, the US, and Israel underline his adaptability and collaborative research style. He is approachable for collaborations or questions via his Weizmann email and maintains an active CS research presence at Yosef Lab.
4 years of coding experience
Baccalauréat scientifique, Mention Très Bien (18.42/20), Baccalauréat scientifique, Mention Très Bien (18.42/20) at École alsacienneMaster of Science - MS, MVA, 16.71/20, Master of Science - MS, MVA, 16.71/20 at École normale supérieure Paris-SaclayIngénieur Civil des Mines - major in Fluid Mechanics & minor in Data Analysis, 85.2/100, Ingénieur Civil des Mines - major in Fluid Mechanics & minor in Data Analysis, 85.2/100 at Mines NancyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Weizmann Institute of ScienceCPGE PSCI-PSI*, 93/100, CPGE PSCI-PSI*, 93/100 at Lycée ChaptalStudy abroad - Biomedical Engineering, 97.9/100, Study abroad - Biomedical Engineering, 97.9/100 at Technion - Israel Institute of TechnologyTime to Care Ideation Sprint, Digital Health, Winning project, Time to Care Ideation Sprint, Digital Health, Winning project at Cornell Tech
Github Skills (16)
mixture-of-experts10
tsne10
variational-autoencoder10
single-cell-genomics10
deep-learning10
density-estimation10
hierarchical10
temporal-data10
topological-data-analysis10
autoencoder10
single-cell-analysis10
jupyter-notebook6
python5
spatial-transcriptomics3
cookiecutter2
Programming languages (3)
Github contributions (5)
NathanAzoL/scvi-tools
May 2022 - Apr 2023
Deep probabilistic analysis of single-cell omics data
Contributions:1 PR, 8 pushes in 11 months
probabilistic-analysisomicsprobabilisticsingle-cell-omicssingle-cell
YosefLab/spatial-scvi
Jul 2023 - Jan 2024
Deep probabilistic analysis of single-cell omics data
Contributions:58 pushes in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.