Daniel Millman is a Senior Scientist in Computational Biology with 8+ years post-PhD experience building production-grade pipelines that integrate multimodal spatial and single-cell omics with rigorous QC and reproducibility. He has led computational programs across a research institute and an early-stage startup, shipping scalable data infrastructure, CI/CD practices, and analytical tools that accelerated R&D and external partnerships. His work spans end-to-end bioinformatics, systems biology modeling, and ML-driven interpretation of multiplexed imaging and NGS data, with strong engineering fluency in Python, C++, Linux, Git, and Cloud/HPC. At the Allen Institute he co-led projects that linked single-neuron physiology to spatial transcriptomics, and at Digital Biology he architected discoverable, standardized pipelines for tissue-scale multimodal assays. Based in San Francisco, he pairs deep academic training (PhD Harvard) with pragmatic startup delivery, often translating complex experimental designs into robust, automatable computational workflows. An uncommon strength is his track record of instilling engineering discipline—code review, data modeling, and infrastructure—inside science teams to make analyses reproducible and product-ready.
8 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at Harvard University
Contributions:2 pushes, 1 branch in 2 years 1 month
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Daniel Millman - Senior Scientist, Computational Biology