Home Department: Radiology
Faculty Advisor: Sam Gambhir
Talk Title: Molecular Imaging of Cardiovascular Infections with 6ʹʹ-[¹⁸F]-Fluoromaltotriose PET/CT
Event: Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2018 Annual Meeting
Supported by The Matthew Frank Family

Home Department: Engineering
Mentor: Tamar Green (Psychiatry & Behavioral Sciences - Interdisciplinary Brain Sciences)

With a primary focus on high-dimensional data, Dr. Mohammad Shahrokh Esfahani has significant expertise in developing machine learning tools. Much of his work involves constructing Bayesian models, which effectively convert 'prior knowledge', either inherent in the dataset or obtained from external sources, into mathematical terms—more specifically, prior probabilities.