Michael Caiola — SPARQNOW

At-a-Glance

Senior Biomedical AI Engineer at Credence and Principal Investigator on federal projects.
Led AI Test & Evaluation and assurance for foundation models in safety-critical environments.
Developed deep learning EEG classifiers deployed as an FDA Regulatory Science Tool (EMATS).
Established rigorous scientific methodologies for AI assurance as a federal subject matter expert.
Holds a PhD in Mathematics.

Biography

Michael Caiola is an AI Research Scientist and a Ph.D.-trained Applied Mathematician with over a decade of experience in multimodal computational modeling, biomedical AI, and high-stakes system validation. His career spans government, industry, and academia, focusing on the end-to-end translational trajectory from applying rigorous non-linear dynamic modeling to complex biological systems to engineering regulatory-grade diagnostic models.