Daniel K is a founder and CEO with a decade of experience building AI/ML solutions for complex, high-stakes domains like life sciences, geospatial sensing, and healthcare. He leads Cambrio, which helps organizations prototype, benchmark, and operationalize automated analysis workflows to amplify scarce expert attention across public and private sectors. His career blends deep scientific training—a PhD in biomedical engineering and computational systems biology at Washington University—with product-focused startup experience (Aidetic) and enterprise analytics leadership (Liberty Mutual, InnoCentive). He has run 100+ innovation programs for clients including NASA, Cleveland Clinic, and the U.S. State Department, translating domain expertise into practical machine intelligence. Comfortable from wet-lab to distributed compute, he’s known for applying statistical physics and big-data thinking to real-world problems and for favoring frugal, experimental approaches to R&D. Based in Greater Boston, he’s passionate about automating analysts’ workflows to surface missed patterns and scale impact.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Chemical Engineering & Biology, Bachelor of Science (B.S.) Chemical Engineering & Biology at Iowa State University
Ph.D. Biomedical Engineering, Ph.D. Biomedical Engineering at Washington University in St. Louis
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