Pier Gherardini
VP Of Computational Biology
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPier Gherardini is a seasoned computational biology leader with 11+ years blending molecular biology, statistics and software to extract signal from high-dimensional single-cell and clinical data. As VP of Computational Biology at Cellanome and formerly Director of Informatics at the Parker Institute, he has built integrated analysis platforms and led teams to support translational immuno-oncology and biomarker discovery. He combines hands-on method and tool development (R, Clojure, Datomic) with expertise in mass and flow cytometry, single-cell analysis and high-throughput technologies. A trained group discussion facilitator with academic roots as an associate professor and a PhD in molecular biology, he uniquely bridges rigorous research, product-focused engineering and clear scientific communication. Notably, he consults through Pragmatica.Bio, applying startup and clinical-trial experience to diverse biotech challenges from prototype assays to production analysis pipelines.
11 years of coding experience
12 years of employment as a software developer
Stanford Ignite Certificate Program in Innovation and Entrepreneurship, Stanford Ignite Certificate Program in Innovation and Entrepreneurship at Stanford University Graduate School of BusinessDoctor of Philosophy (PhD) Cell/Cellular and Molecular Biology, Doctor of Philosophy (PhD) Cell/Cellular and Molecular Biology at University of Rome Tor Vergata
Github Skills (82)
high-resolution10
mass10
image-viewer10
shiny10
scaffold10
preprocessing10
r-package10
normalization10
viewer10
rstudio10
r9
reactive9
rna-seq9
web-development9
imaging9
Programming languages (9)
Github contributions (5)
ParkerICI/panorama
Mar 2018 - Feb 2022
Contributions:88 commits, 3 pushes, 1 branch in 3 years 11 months
ParkerICI/vite
Mar 2018 - Apr 2021
R package for analysis of single-cell data using graphs
Contributions:12 releases, 62 commits, 2 PRs in 3 years 1 month
scaffoldr-packagefcs-filesgraphsmass-cytometry
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