I am currently a diagnostic radiology resident at NYU. I got my bachelor and master of science in engineering at the University of Pennsylvania and my MD PhD at Mount Sinai. I completed my intern year at Memorial Sloan Kettering Cancer Center.
My goal is to become a radiologist who can improve implementation of machine learning techniques in clinical practice. I have research experiences in molecular imaging, radiation physics, computer vision, and artificial intelligence. I have been published in NeurIPS Proceedings (PMLR), Radiology: Artificial Intelligence (cover article Volume 3 Issue 2), Nature Medicine, Pediatrics, and more.
I fell in love with radiology, an exceptional intersection of technology and medicine, during a signals course lecture given by Andrew Maidment at The University of Pennsylvania. I completed my senior design project with him and developed methods to quantify and incorporate super resolution in digital breast tomosynthesis. I completed my master's thesis with Marni Falk at The Children's Hospital of Philadelphia and developed a technique to automate quantitation of fluorescent markers of mitochondrial physiology.
During my PhD training with Anthony Costa and Eric Oermann at Mount Sinai, I focused on developing an objective, quantitative metric to evaluate diagnostic utility of generative ML algorithms. I was part of an international federated learning project to improve the generalizability of a COVID-19 prognostication algorithm. I am continuing to work with Eric as a postdoc at the NYU OLAB to build standardized radiology datasets and improve deployment of machine learning techniques to clinical practice.
Award given to a graduating student who has demonstrated dedication and achievement in the field of clinical radiology and biomedical imaging research.
First-author article on multi modality, deep learning prognostication model was published as the cover article of Volume 3, Issue 2 of Radiology: Artificial Intelligence.
Award given to a student who has displayed outstanding teaching skills and has selflessly devoted significant time and energy to enhancing students' learning, generally through engagement in review sessions, labs, and tutoring.
$6,000 grant that gives medical students the opportunity to gain research experience in medical imaging and a chance to consider academic radiology as a future career option.
Selected scholars attend the SIR Annual Scientific Meeting -- an experience that includes dedicated educational programming, presentations from leaders in the field of interventional radiology, and networking opportunities with IRs from across the world.
Award given to a graduating senior team who, in the conduct of its senior project, has best demonstrated originality and creativity in the application of engineering principles to the solution of a biomedical problem.
Award given to a graduating senior who, in the opinion of the faculty, has demonstrated the highest standards of scholarship and academic achievement.
$1000 travel award to present original research on flunarizine rescue of Batten disease at the Annual SIMD Conference