CV
Staff Data Scientist in life sciences at the Biohub
Contact Information
| Name | Pablo Eduardo Garcia-Nieto |
| paedugar@gmail.com |
Experience
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2025 - present New York, NY
Staff Data Scientist
biohub
- Technical lead for the Billion Cells Project, supporting labs processing millions of single-cell transcriptomic profiles.
- Work directly with partner labs to support computational biology needs, mentoring scientists and helping design analyses and experimental strategies.
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2023 - 2024 San Francisco, CA
Senior Data Scientist
insitro
- Created re-usable analytical pipelines for single-cell gene expression data in close partnership with engineers and machine learning scientists.
- Iterated rapidly with wet-lab teams to refine experimental strategies and integrate computational insights into decision-making for clinical programs.
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2020 - 2023 Redwood City, CA
Computational Biologist and Product Manager
Chan Zuckerberg Initiative
- Developed and prototyped algorithms for processing and analysis of single-cell data. Collaborated with engineers to bring methods to production for 1000+ datasets.
- Defined, developed, and launched single-cell software products. Led a team of engineers and UXR to deliver CELLxGENE Census for large-scale modeling use cases.
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2015 - 2020 Stanford, CA
Ph.D. Researcher
Fraser and Morrison Labs, Stanford University
- Pioneered computational methods to study somatic mutation landscape using 10,000+ sequencing samples from 500+ individuals.
- Integrated genomics, transcriptomics, and phenotypic data to uncover mechanisms of somatic mutation acquisition.
- Developed sequencing technologies to map UV-induced DNA lesions genome-wide.
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2013 - 2015 Stanford, CA
Research Assistant
Morrison Lab, Stanford University
- Developed a novel sequencing technique to map UV-induced DNA lesions.
- Integrated melanoma mutation data with epigenomics data to characterize carcinogen susceptibility.
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2011 - 2012 Irapuato, Mexico
Computational Biologist
Vielle-Calzada Lab, LANGEBIO
- Applied functional genomics and computational biology to investigate sexual development in plants.
- Processed and analyzed small-RNA sequencing data from plant ovules.
Education
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2015 - 2020 Stanford, CA
Ph.D.
Stanford University
Biology (Molecular, Cellular and Developmental)
- Advisors: Hunter Fraser and Ashby Morrison
- Strong computational component
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2009 - 2013 Mexico City, Mexico
B.Sc.
National Autonomous University of Mexico (UNAM)
Genomics
- Graduated with university honors
- Advisor: Jean-Philippe Vielle-Calzada
Awards
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2016 Bio-X Ph.D. Fellowship
Awarder: Stanford Bio-X
Full funding for Ph.D. studies given to students with academic excellence and interdisciplinary projects.
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2013 Coca-Cola Fellowship for Research Abroad
Awarder: Coca-Cola Foundation
Given to outstanding undergraduate students from Latin America to perform research in the USA or Europe.
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2013 Honors in B.Sc. Thesis
Awarder: UNAM
Given to students who achieved a GPA greater than 3.7 and were assessed as producing high-quality research.
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2010 Gold Medal, iGEM Synthetic Biology Competition
Awarder: MIT / iGEM
Given to excelling competitors that contribute with an impactful project in synthetic biology.
Skills
Computational: Python, R, single-cell and bulk RNA, variant calling and eQTLs, Snakemake/Nextflow, Bash, HPC clusters (SLURM/Torque), FACS analysis.
Experimental: Human tissue culture, Western/slot blots, Transfection and infection, FACS, Electrophoresis, qPCR, DNA labelling, Immunofluorescence, Classical and topo cloning.