Jacob Luber is an associate professor and computational biologist who builds scalable tools to contextualize cancer imaging and high-throughput omics data for both clinical decision support and drug discovery. With 11 years of experience bridging computer science and bioengineering, he develops statistical and machine learning frameworks for single-cell and spatial transcriptomics, spatial proteomics (CODEX), and calcium imaging at massive scale. His lab’s focus on translating imaging and multi-omics into actionable oncology insights complements his recent academic transition to St. Jude Children’s Research Hospital, highlighting a growing emphasis on pediatric cancer applications. Trained in Bioinformatics and Integrative Genomics at Harvard Medical School and grounded in computer science from Trinity University, he pairs rigorous computational methods with domain-driven experimental collaboration. Notably, his early work on PDX models and drug-response biomarkers demonstrates a practical track record of moving algorithms toward translational impact.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Bioinformatics and Integrative Genomics (BIG) Program, Doctor of Philosophy (Ph.D.) Bioinformatics and Integrative Genomics (BIG) Program at Harvard Medical School
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Trinity University
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