LiliĀ Blumenberg

Principal Scientist, Bioinformatics

New York, New York, United States
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Summary

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Lili Blumenberg is a Principal Scientist in Bioinformatics with nine years of experience translating multi-omics data into actionable cancer immunotherapy targets. She combines deep expertise in proteomics, phosphorylation signaling, and RNA-seq deconvolution with hands-on development of tools like PhosphoDisco, CellCycleComposition, hypercluster and BlackSheep to accelerate cohort-scale analyses. At NYU she was a lead contributor to CPTAC breast cancer studies and now drives bioinformatics strategy and production analytics at Regeneron. Comfortable across supervised and unsupervised machine learning, she optimizes pipelines for scale and reproducibility using Python, scikit-learn and workflow automation. Her work blends academic rigor with product-focused delivery, making complex biological signals tractable for personalized therapy discovery.
code9 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD Systems and Computational Biomedicine, Doctor of Philosophy - PhD Systems and Computational Biomedicine at NYU School of Medicine, Sackler Institute of Graduate Biomedical Sciences
bookBachelor's Degree Cell/Cellular and Molecular Biology, Bachelor's Degree Cell/Cellular and Molecular Biology at Cornell University
bookHunter College High School
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Github Skills (54)

package-management10
conda10
bioinformatics10
bioconda10
transcriptomics8
meta-learning8
feature-selection7
network-graph7
auto-scroll7
docstrings7
auto-generate7
python-interface7
single-cell-analysis7
automated-machine-learning6
igraph6

Programming languages (5)

JavaShellC++Jupyter NotebookPython

Github contributions (5)

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ruggleslab/blackSheep

Jul 2019 - Feb 2021

Contributions:116 commits, 49 pushes, 6 branches in 1 year 7 months
liliblu/hypercluster

Dec 2019 - Jul 2022

Contributions:1 release, 164 commits, 104 pushes in 2 years 7 months
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Lili Blumenberg - Principal Scientist, Bioinformatics