Andrew Jamieson, Ph.D. Titles and Appointments Assistant Professor Schools Medical School | Graduate School Departments Lyda Hill Department of Bioinformatics Graduate Programs Biomedical Engineering Biography Andrew R. Jamieson, Ph.D., is an Assistant Professor in the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center. His team builds AI systems used in daily academic-medicine workflows, including clinical-exam grading, research support, and multi-institutional medical-education assessment. The lab’s flagship platform, Project MAPLES (ut-real-ai-project-maples.com; demo walkthrough), built in collaboration with the UTSW Simulation Center, performs AI-assisted evaluation of Objective Structured Clinical Examinations (OSCEs). It has graded more than 7,000 encounters across 3,200+ medical students, returning structured scores and evidence-linked rationales for faculty review. Through the UT-REAL Health AI Pilot Award, part of the UT System’s state-funded AI initiative with Microsoft Azure support, MAPLES is deploying across the six-school UT-REAL consortium. The lab’s assessment work also extends to residency teamwork and surgical video, alongside separate clinical-research collaborations including kidney-cancer pathology. Beyond his lab, Dr. Jamieson strives to empower the UT Southwestern community with frontier AI technology by helping faculty and departments on applying AI to active studies and operational workflows, building institutional infrastructure with the UTSW Innovation Hub, including the new Discovery Information Management System (DIMS), contributing to organization-level AI strategy and education efforts, and teaching AI practice through graduate courses, faculty workshops, and nanocourses. He previously co-led the university-wide Bioinformatics Core Facility (2019–2022). His work spans two decades of machine learning for medicine: breast-cancer computer-aided diagnosis at the University of Chicago (Ph.D., Medical Physics, with Prof. Maryellen L. Giger), GE Healthcare work in biopharma and digital pathology, live-cell deep learning featured on the cover of Cell Systems (2021), and the UTSW North Texas COVID-19 forecast model. He publishes in NEJM AI, npj Digital Medicine, JMIR AI, Nature Methods, and Discover Artificial Intelligence. Education Undergraduate University of Chicago (the) (2006), Physics Graduate School University of Chicago (the) (2012), Medical Physics Research Interest AI in medical education and the clinic Frontier Artificial Intelligence & Machine Perception Large Langauge Models Multimodal Foundation Models for Clinical Applications Publications Featured Publications Iterative refinement and goal articulation to optimize large language models for clinical information extraction. Hein D, Christie A, Holcomb M, Xie B, Jain AJ, Vento J, Rakheja N, Shakur AH, Christley S, Cowell LG, Brugarolas J, Jamieson AR, Kapur P, NPJ Digit Med 2025 May 8 1 301 Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI Andrew R. Jamieson and Michael J. Holcomb and Thomas O. Dalton and Krystle K. Campbell and Sol Vedovato and Ameer Hamza Shakur and Shinyoung Kang and David Hein and Jack Lawson and Gaudenz Danuser and Daniel J. Scott NEJM AI 2024 1 12 Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma. Zaritsky A, Jamieson AR, Welf ES, Nevarez A, Cillay J, Eskiocak U, Cantarel BL, Danuser G, Cell Syst 2021 May Universal consensus 3D segmentation of cells from 2D segmented stacks. Zhou FY, Marin Z, Yapp C, Zou Q, Nanes BA, Daetwyler S, Jamieson AR, Islam MT, Jenkins E, Gihana GM, Lin J, Borges HM, Chang BJ, Weems A, Morrison SJ, Sorger PK, Fiolka R, Dean KM, Danuser G, bioRxiv 2025 Mar Large Language Models for Medical OSCE Assessment: A Novel Approach to Transcript Analysis Ameer Hamza Shakur, Michael J. Holcomb, David Hein, Shinyoung Kang, Thomas O. Dalton, Krystle K. Campbell, Daniel J. Scott, Andrew R. Jamieson arXiv 2024 Zero-Shot Multimodal Question Answering for Assessment of Medical Student OSCE Physical Exam Videos Michael J. Holcomb, Shinyoung Kang, Ameer Shakur, Sol Vedovato, David Hein, Thomas O. Dalton, Krystle K. Campbell, Daniel J. Scott, Gaudenz Danuser, Andrew R. Jamieson medRxiv 2024 Heterozygous Mutation of Vegfr3 Reduces Renal Lymphatics Without Renal Dysfunction. Liu H, Hiremath C, Patterson Q, Vora S, Shang Z, Jamieson A, Fiolka R, Dean K, Dellinger M, Marciano D, J Am Soc Nephrol 2021 Sep Rethinking Autonomous Surgery: Focusing on Enhancement over Autonomy. Battaglia E, Boehm J, Zheng Y, Jamieson AR, Gahan J, Majewicz Fey A, Eur Urol Focus 2021 Jul A Silver Lining? Fewer non-SARS-CoV-2 Respiratory Viruses during the COVID-19 Pandemic. Most ZM, Holcomb M, Jamieson AR, Perl TM, J Infect Dis 2021 Apr What the Coronavirus Disease 2019 (COVID-19) Pandemic Has Reinforced: The Need for Accurate Data. Arvisais-Anhalt S, Lehmann CU, Park JY, Araj E, Holcomb M, Jamieson AR, McDonald S, Medford RJ, Perl TM, Toomay SM, Hughes AE, McPheeters ML, Basit M, Clin Infect Dis 2021 03 72 6 920-923 Results 1-10 of 15 1 2 Next Last Honors & Awards Dallas Innovates 2026 AI 75 InnovatorsAnnual DFW AI leaders list (Dallas Innovates & Dallas Regional Chamber). Named 2026 Bioinformatics Builder for deployed healthcare AI at UTSW: medical-education assessment and clinical research data extraction. (2026)
