Daniel Acker is an entrepreneurial AI leader and computational biologist with a decade of experience building machine learning-driven biology products and agentic AI capabilities. Currently VP and Head of Agentic AI at Flagship Pioneering, he has led cross-disciplinary teams to decode T-cell/antigen interactions, automate single-cell and flow cytometry pipelines, and translate deep learning models for gene expression and peptide–MHC recognition into practical tools. His PhD work combined experimental neuroscience and neural-network modeling to both validate a synaptogenic epilepsy therapy and explore how circuit rewiring shapes memory, illustrating a rare mix of wet-lab rigor and theoretical modeling. A repeat cofounder and advisor in biotech startups, he pairs product-focused engineering with strategic leadership and a track record of shipping models that improved state-of-the-art performance in applied genomics.
10 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS) with distinction in research Biological Sciences & Animal Science, Bachelor of Science (BS) with distinction in research Biological Sciences & Animal Science at Cornell University
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at Brandeis University
Contributions:27 pushes, 1 branch in 2 years 4 months
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Daniel Acker - VP, Head Of Agentic AI at Flagship Labs 101, Inc.