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.
9 years of coding experience
5 years of employment as a software developer
Doctor 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
Bachelor's Degree Cell/Cellular and Molecular Biology, Bachelor's Degree Cell/Cellular and Molecular Biology at Cornell University
Contributions:1 release, 164 commits, 104 pushes in 2 years 7 months
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Lili Blumenberg - Principal Scientist, Bioinformatics