Andrew Jamieson, Ph.D.

Andrew R. Jamieson, Ph.D., is an Assistant Professor in the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center, appointed in 2019. As Principal Investigator, Dr. Jamieson leads a team of scientists and machine learning engineers focused on developing advanced AI systems for analyzing medical student performance. His research leverages UTSW Simulation Center's vast catalog of live-action human performance data, including video, audio, and text-based inputs, to guide frontier multimodal foundation models towards expert-level automated assessment and educational enhancement. This innovative approach aims to provide educators with unprecedented insights into human behavior and communication in medical settings. In 2023, Dr. Jamieson's team achieved a significant milestone by developing and deploying a pioneering automatic AI grading system for medical student post-encounter OSCE notes.  

From 2018 to 2021, Dr. Jamieson served as co-leader of the Bioinformatics Core Facility (BICF), spearheading campus-wide research collaborations in computational image analysis. Dr. Jamieson's work in machine learning and image analysis has been featured on the cover of Cell Systems (July 2021), where he developed a generative deep network to encode latent representations of live-imaged, label-free melanoma cells to reveal cellular properties distinguishing aggressive from less aggressive metastatic melanoma. In the domain of spatial biology, he has collaborated closely with pathologists and radiation oncologists to develop custom pipelines and visualization tools for analyzing highly-multiplexed immunofluorescence images. In response to the global pandemic, his team developed the UTSW COVID-19 forecast model, providing critical data to institutional leadership and the public. Dr. Jamieson is also an active educator contributing to various graduate-level courses and nanocourses, including as a Course Director for the Masters in Health Informatics program at the Clinical Informatics Center. 

Prior to his academic career, Dr. Jamieson held key industry positions, including roles at GE Healthcare working in the molecular diagnostics and BioPharma space, and as the first data scientist at a big data analytics start-up.  Dr. Jamieson received his B.A. in Physics with honors (2006) and Ph.D. in Medical Physics (2012) from the University of Chicago, where his early work in computer-aided diagnosis laid the foundation for a career-long fascination with machine learning and AI.