Anthony Cesnik
Group Leader at Biohub
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolAnthony Cesnik is a proteomics-focused research leader with a decade of experience unraveling how proteoform variation shapes cellular organization and treatment responses. Currently Group Leader at Biohub after postdoctoral appointments at Stanford and KTH, he combines analytical chemistry expertise (PhD, UW–Madison) with software development to detect and visualize proteoform families and streamline RNA‑Seq workflows. His work bridges spatial biology and mass‑spectrometry proteomics to build spatiotemporal blueprints of protein variation that have direct implications for disease and therapeutic response. Notably, he has translated bench discoveries into computational tools—originally written in C#—to enable cancer‑ and species‑specific peptide detection, reflecting a rare mix of wet‑lab rigor and practical software craftsmanship.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Analytical Chemistry, Doctor of Philosophy (PhD), Analytical Chemistry at University of Wisconsin-MadisonBachelor of Arts (BA), Chemistry, Bachelor of Arts (BA), Chemistry at Gustavus Adolphus College
English, Swedish
Github Skills (137)
table-of-contents10
snakemake10
mass10
package-management10
seq10
forge10
uniprot10
commonmark10
genomics10
haskell10
markdown10
mass-spectrometry10
cytoscape10
chemistry10
top-down10
Programming languages (20)
Github contributions (5)
smith-chem-wisc/Spritz
May 2017 - Jan 2023
Software for RNA-Seq analysis to create sample-specific proteoform databases from RNA-Seq data
Contributions:39 releases, 1 review, 196 commits in 5 years 9 months
rna-seq-analysisdatabasesbioinformaticssnakemakeproteogenomics
CellProfiling/FucciSingleCellSeqPipeline
Feb 2021 - Jul 2021
Cell cycle analysis of single-cell proteomic and transcriptomic data for the FUCCI cell model -- RNA-Seq analysis pipeline
Contributions:5 releases, 6 commits, 16 PRs in 4 months
analysis-pipelinernaseqpipelinecell-cyclerna-seq-analysis
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