Nathan Levy

Data Scientist

https://talent.gravityer.com/nathan-levy

CS PhD @YosefLab

YosefLab

Key Strengths

Extensive experience with Python for data science and machine learning, particularly in the domain of single-cell and spatial omics data analysis.
Demonstrated proficiency in developing and contributing to complex scientific computing projects (e.g., scvi-tools, Harreman, mrvi).
Strong background in variational inference and deep probabilistic models, indicating advanced theoretical and practical knowledge in machine learning.
Experience with reproducibility practices using Jupyter Notebooks, TeX, and Makefiles.
Current role as a Data Scientist at YosefLab aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in academic/research-oriented data science, specifically bioinformatics and computational biology. While this demonstrates deep expertise in a niche, it suggests a potentially narrow focus. The lack of diverse project types (e.g., industry applications, web services, large-scale data engineering) might indicate a specific cultural fit for research-heavy environments rather than broader industry roles. The single current employment at YosefLab further reinforces this specialized profile.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insights.

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Assessing your cultural and operational fit

Projects

dinov1_reproducibility

March 15, 2026 – Present

DINO code with KL and entropy tracking

View Project

scVIVA-reproducibility

May 19, 2025 – October 26, 2025

Code to reproduce scVIVA figures

View Project

cytovi-reproducibility

March 26, 2025 – Present

Reproducibility repository for the CytoVI manuscript

View Project

ex-coding-practices

June 17, 2024 – September 3, 2024

ex-coding-practices — GitHub repository

View Project

Harreman

June 13, 2024 – Present

Harreman infers metabolic exchanges in tissues using spatial transcriptomics.

View Project

ex-vae

August 9, 2023 – November 23, 2025

ex-vae — GitHub repository

View Project

resolVI

January 25, 2023 – October 9, 2024

resolVI — GitHub repository

View Project

mrvi

October 17, 2022 – October 9, 2024

Multi-resolution Variational Inference

View Project

scvi-tutorials

September 13, 2020 – Present

Notebooks used in scvi-tools tutorials

View Project

scvi-tools

September 6, 2017 – Present

Deep probabilistic analysis of single-cell and spatial omics data

View Project

Key Strengths

Extensive experience with Python for data science and machine learning, particularly in the domain of single-cell and spatial omics data analysis.
Demonstrated proficiency in developing and contributing to complex scientific computing projects (e.g., scvi-tools, Harreman, mrvi).
Strong background in variational inference and deep probabilistic models, indicating advanced theoretical and practical knowledge in machine learning.
Experience with reproducibility practices using Jupyter Notebooks, TeX, and Makefiles.
Current role as a Data Scientist at YosefLab aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insights.

Nathan Levy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit