School of Medicine
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Carolyn Dacey Seib, MD, MAS
Associate Professor of Surgery (General Surgery)
BioDr. Carolyn Dacey Seib is a fellowship-trained endocrine surgeon and board certified general surgeon. Her practice is focused on surgery of the thyroid, parathyroid, and adrenal glands.
Dr. Seib has clinical and research expertise in the surgical management of endocrine disorders in older adults, including primary hyperparathyroidism, thyroid cancer, and hyperthyroidism. Dr. Seib completed her undergraduate education at Princeton University, graduating summa cum laude in 2004. She received her M.D. at the New York University School of Medicine and then attended residency in General Surgery at UCSF. Dr. Seib also completed a fellowship in Endocrine Surgery at UCSF, during which she cared for patients with complex disorders of the thyroid, parathyroid, and adrenal glands.
Dr. Seib focuses on providing individualized care for patients with thyroid malignancy, hyperthyroidism, primary hyperparathyroidism, and adrenal disorders. She has received funding from the National Institute on Aging and the American Thyroid Association to study the surgical management of endocrine disorders in older adults and has a number of peer-reviewed journal publications on this topic that have received national attention, including being featured in the New York Times. -
Benjamin Seiler
Postdoctoral Scholar, Epidemiology
BioBen Seiler is a postdoctoral research fellow in the department of Epidemiology and Population Health at the Stanford School of Medicine, with Mike Baiocchi. He specializes in developing and deploying interpretable statistical learning methods. As part of the Stanford Human Trafficking Data Lab (HTDL), Ben currently works on quantitative approaches to issues of labor trafficking and child labor in Brazil in partnership with their Federal Labor Prosecution Office. As part of the Stanford Regulation, Evaluation, and Governance Lab (RegLab), Ben currently works in partnership with the US Internal Revenue Service to study the use of AI to modernize the system for tax collection. He holds a PhD in Statistics from Stanford University, where he was advised by Art B. Owen. Before Stanford, he earned a BA magna cum laude in physics, economics, and mathematics from Williams College. After completing his BA, he worked as a foreign exchange derivatives trader at Goldman Sachs from 2013 to 2018.
