The Whitney Lab

People

Heather M. Whitney, PhD

Heather M. Whitney, PhD

Assistant Professor of Radiology

As PI of the Whitney Lab, I conduct research in computer-aided diagnosis of gynecological cancers (including ovarian cancer), focusing on the modalities of dynamic contrast-enhanced magnetic resonance imaging and ultrasound. My primary areas of interest are in artificial intelligence and radiomics across the imaging and classification pipeline, from image acquisition to performance evaluation and data harmonization. I also conduct research and collaborate in MIDRC, the Medical Imaging and Data Resource Center. Within MIDRC I work on methods of task-based distributions, interoperability between data enclaves, and monitoring and studying the diversity and representativeness of the MIDRC data commons to foster research in AI of medical imaging.

Learn more about Heather Whitney

Current Trainees and Staff

Amal Almansour, PhD

Amal Almansour, PhD

Postdoctoral Scholar

Amal is a postdoctoral scholar at the University of Chicago. She is working on AI/machine learning of computer-aided diagnosis of ovarian cancer on ultrasound imaging. She is co-mentored by Ernst Lengyel, Chair of OB/GYN at UChicago. Dr. Almansour received her PhD in computer science from DePaul University.

Jazmine Vitela

Jazmine Vitela

Undergraduate research assistant

Jazmine is an undergraduate student at the University of Chicago majoring in biological sciences and in Spanish. In Summer 2025 she was a student in the UChicago SURFBOARD (Summer Undergraduate Research Fellowship in Bioimaging for Oncology and Related Disciplines) program. She works on evaluating measures of differences in radiomic features from colormaps on ultrasound imaging in retrospective datasets and the impact to computer-aided diagnosis.

Sara Chaker, MS

Sara Chaker, MS

Data Science Analyst

Sara Chaker recently completed the University of Chicago Master of Science program in applied data science. She is working on developing frameworks for identifying the best task-based bias and fairness metrics for AI outputs from medical imaging along with other pilot projects in computer-aided diagnosis.

Bruce Abrams

Bruce Abrams

Graduate research assistant

Bruce is a graduate student in physics at the University of Chicago. He is working on a project on isotropic-resolution ultrasound imaging with refractive correction, part of our lab’s collaboration with Shwetadwip Chowdhury at the University of Texas at Austin.

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