Summary
Daniel Carlin is a Senior Bioinformatics Scientist with 15 years of experience applying computational systems biology and multi-omics integration to complex problems in cancer, neurodegeneration, cardiology, and development. Based at UC San Diego, he leads analysis of bulk, single-cell, spatial transcriptomics and epigenomic datasets to uncover regulatory programs and intercellular signaling, with notable work on Alzheimer’s, Parkinson’s, and cardiomyopathy models. He combines deep domain expertise in gene regulatory networks with practical machine learning and data-science tooling in R and Python, translating network topology changes into biological insight. Daniel’s background spans academic research and industry-facing bioinformatics SaaS development, and he often leverages circadian and temporal patterns to reveal non-obvious regulatory dynamics.
15 years of coding experience
Bachelor of Science - BS, Bioengineering and Biomedical Engineerin, Bachelor of Science - BS, Bioengineering and Biomedical Engineerin at Duke University
University of California Santa Cruz