Summary
Andrew Jamieson is an Assistant Professor and AI practitioner with nine years of experience applying machine learning to medical imaging, clinical decision support, and operationalizing AI in healthcare. Based at UT Southwestern Medical Center, he leads research and deployment efforts that span predictive models for metastatic cancer risk, AI-driven melanoma detection, and integrating AI into medical education and clinical workflows. His background combines a PhD in Medical Physics with hands-on industry experience in digital pathology, image-based biomarker analytics, and lean operational roles at GE and NeoGenomics. He has experience shipping research into practice—from prototype algorithms in startups and AWS to scalable clinical tools and departmental AI roadmaps. Notably, he bridges deep technical work (unsupervised feature learning, dimension reduction, and imaging CADx) with operational excellence and regulatory-aware clinical translation. Based in Dallas, he pairs academic rigor with practical deployment experience to advance AI that clinicians can trust and use.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biological Sciences Division, Medical Physics, Doctor of Philosophy (Ph.D.), Biological Sciences Division, Medical Physics at University of Chicago
Plano East Senior High