Summary
Matthew Martz is a Director of AI Engineering and serial AI founder with ~18 years of production ML experience who builds agentic systems and knowledge-graph driven platforms that operate in regulated, high-stakes domains. He’s led teams of 25+ to deploy enterprise-grade GraphRAG, federated learning, and multimodal foundation model solutions that power clinical workflows, personalized consumer products, and biotech discovery, and holds five AI/ML patents. At Mayo Clinic and his LOOM platform he integrated 2.3M+ patient records into compositional knowledge graphs and engineered execution graphs enabling autonomous, multi-step agent workflows. Previously he drove 10x user growth through AI personalization at Firstleaf and delivered enterprise AI strategy across Syngenta and AgBiome, proving he can translate deep technical work into measurable business outcomes. Known for pairing hands-on coding and system architecture with executive strategy, he specializes in explainable, auditable AI for regulated environments where safety and governance are non-negotiable. Based in Chapel Hill, he blends a lab-born rigor in quantitative biology with pragmatic production engineering to solve the hardest deployment problems once and scale them everywhere.
15 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Biochemistry and Molecular Biology, Bachelor’s Degree, Biochemistry and Molecular Biology at Penn State University
Doctor of Philosophy (Ph.D.), Biochemistry and Molecular Biology, Doctor of Philosophy (Ph.D.), Biochemistry and Molecular Biology at Jefferson Health
Postdoctoral Fellowship, Biochemistry, Biophysics, and Quantitative Cell Biology, Postdoctoral Fellowship, Biochemistry, Biophysics, and Quantitative Cell Biology at The University of North Carolina at Chapel Hill
English