CV

Staff Data Scientist in life sciences at the Biohub

Contact Information

Name Pablo Eduardo Garcia-Nieto
Email paedugar@gmail.com

Experience

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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

  • 2015 - 2020

    Stanford, CA

    Ph.D.
    Stanford University
    Biology (Molecular, Cellular and Developmental)
    • Advisors: Hunter Fraser and Ashby Morrison
    • Strong computational component
  • 2009 - 2013

    Mexico City, Mexico

    B.Sc.
    National Autonomous University of Mexico (UNAM)
    Genomics
    • Graduated with university honors
    • Advisor: Jean-Philippe Vielle-Calzada

Awards

  • 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.

  • 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.

  • 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.

  • 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.