Brian Isett is a Staff Bioinformatics Scientist and Project Manager with 10 years of experience leading computational biology for translational oncology at UPMC Hillman Cancer Center. He directs a team of bioinformaticians to build high-throughput spatialomics and digital pathology pipelines that integrate single-cell, spatial, and multiplex imaging data to discover and validate immunotherapy biomarkers across tumor types. His work spans end-to-end tooling—from Nextflow/Singularity pipelines and GPU-accelerated deep learning to statistical survival modeling—and has supported high-impact publications and TCGA-based validations. He developed MuCTaL, a deployable whole-slide tumor localization framework released on HuggingFace, and has applied foundation-model features and GNNs to predict progression-free survival. Trained as a neuroscientist (UC Berkeley PhD) with NIH fellowship experience in large-scale electrophysiology, he brings a rare combination of experimental rigor and production-grade ML engineering to cancer translational research. Colleagues rely on him for translating complex spatial biology into reproducible, clinically relevant analytics.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at University of California, Berkeley
Bachelor of Science - BS, Biology, Bachelor of Science - BS, Biology at Cornell University
Instructions for using deeplabcut (v2.1.7) in a GPU cluster environment (specifically Bridges GPU-AI node at PSC)
Contributions:14 commits, 1 PR, 13 pushes in 21 days
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