Pratik Shah

The Computational Medicine Research Group at the University of California, Irvine, led by Prof. Pratik Shah , is recruiting a postdoctoral scholar to work at the intersection of generative AI, medical imaging, and clinical decision support. The project focuses on building and interpreting deep learning systems for digital biopsies from high-parameter pathology and other medical images, together with methods that connect molecular profiles to disease biology and support diagnostic tool development for clinical use. The lab also develops generative and predictive AI for non-imaging clinical data, including electronic medical records and genetic sequencing data. This includes biologically informed statistical methods, uncertainty estimation, causality-aware modeling, and predictive systems for patient outcomes and discovery of disease subtypes. The advertised role sits within the Department of Pathology & Laboratory Medicine in the School of Medicine at UC Irvine. The research environment emphasizes publication in leading biomedical journals and machine learning venues, collaboration with industry partners and funding agencies, and training in fellowship writing, teaching, mentoring, presentations, and manuscript review. The lab’s work spans medical imaging, pathology, MRI, CT, RGB data, EMR analysis, and genomic data, offering a broad computational medicine setting for a postdoctoral researcher interested in translational AI.