Lab Members

Elizabeth Owens

Elizabeth has graduated in 2024 from Duke studying Neuroscience, Computer Science, as well as Philosophy, Politics, and Economics. She has trained in single cell RNA analysis at our lab as an honors project during her senior year. She stayed on after graduation to continue as a research technician. She aspires to work in healthcare and […]
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Anna Corcoran

Anna graduated from Duke in 2026, where she studied Statistics, Biology, and Mathematics. As an undergraduate, she trained in Xenium spatial transcriptomics analysis and continued in the lab as a research technician. Her research interests center on cancer biology, and she plans to pursue an MD-PhD to integrate clinical medicine with translational research. Outside the […]
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Eugene Vaios, MD, MBA

NIH K38 Transition Scholar Dr. Vaios started working on this project when he was a radiation oncology resident. He transitioned to a faculty appointment after being awarded an NIH K38 grant that is focused on development of a non-invasive biomarker that could improve diagnosis, risk assessment, and treatment monitoring. His study used cell-free DNA (cfDNA) […]
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Kirit Singh, MD, PhD

Kirit Singh recently earned his PhD in Biomedical Engineering at Duke University and is now continuing in the lab as a postdoctoral associate and Preparing Future Faculty fellow. His research focuses on translational drug development, with a particular emphasis on bi-specific T cell engagers and surgical window-of-opportunity trials.
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Ke-Nan Zhang, MD, PhD

Kenan Zhang is a neurosurgeon from China working on molecular classification and immunotherapeutic research on diffuse glioma. Kenan leads multiple bioinformatics projects and supervises student and technicians. He aspires to become an independent physician-scientist and make a difference for patients with diffuse glioma. He enjoys swimming, cooking food, and PC DIY in his free time.
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Kelly Hotchkiss, PhD

Kelly Hotchkiss has expertise in developing pre-clinical immune cell culture, synthetic biology, in vitro and in vivo models as well as evaluations of biological systems from a biomedical engineering perspective.
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