School of Medicine
Showing 10,181-10,190 of 13,048 Results
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Niraj Sehgal
Clinical Professor, Medicine
Current Research and Scholarly InterestsQuality Improvement & Patient Safety, Teamwork & Communication, Leadership
Development, Organizational Culture & Change -
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 who specializes in surgery of the thyroid, parathyroid, and adrenal glands. In 2025, she was among the first surgeons in the United States to earn a Focused Practice Designation in Complex Thyroid and Parathyroid Surgery from the American Board of Surgery, reflecting her expertise in these procedures and related patient management.
Dr. Seib provides comprehensive and personalized care for patients with thyroid, parathyroid, and adrenal disorders, including thyroid cancer, hyperthyroidism, primary hyperparathyroidism, primary aldosteronism, autonomous cortisol secretion, and pheochromocytomas. Her approach combines advanced surgical techniques with a focus on patient-centered outcomes, ensuring that each treatment plan is tailored to the individual.
In addition to her clinical practice, Dr. Seib is an NIH-funded researcher whose work focuses on optimizing surgical decision-making and outcomes for patients with endocrine disorders. She has received research support from the National Institute on Aging and the American Thyroid Association, and her studies have been published in leading peer-reviewed journals and featured in national media, including The New York Times.
Dr. Seib completed her undergraduate education at Princeton University (summa cum laude), earned her medical degree from the New York University School of Medicine, and completed her general surgery residency and endocrine surgery fellowship at the University of California, San Francisco (UCSF). -
Heather Selby, PhD
Basic Life Research Scientist, Stanford-Surgery Policy Improvement Research and Education Center
BioI am interested in developing medical imaging-based AI models to identify patients with locally advanced rectal cancer who achieve a clinical complete response to neoadjuvant chemoradiotherapy, with the goal of sparing them from surgery and its associated risks.
