Presented by: Aaron Dawes, MD, Assistant Professor of Surgery, General Surgery, Stanford University.
Talk Title: “Despite initial improvements, the impact of Medicaid expansion on continuity of enrollment has waned over time.”
Bio: Dr. Dawes is a board-certified, fellowship-trained colon and rectal surgeon. He is also an Assistant Professor in the Department of Surgery, Division of General Surgery at Stanford University School of Medicine. Dr. Dawes treats a wide variety of conditions involving the colon, rectum, and anus, always leveraging the latest evidence and technologies. He is fully trained in minimally invasive surgical techniques–including laparoscopic, robotic, and trans-anal minimally invasive surgery–and strives to employ them, whenever possible, in an effort to reduce pain and shorten recovery. In addition to his clinical work, Dr. Dawes is a health services researcher, receiving his Ph.D. in Health Policy and Management from the UCLA Fielding School of Public Health. His research focuses on policy development, measurement, and evaluation for patients with colorectal conditions. He is particularly interested in using data to drive policy interventions aimed at reducing disparities in quality, access, and value.
Anyone can attend and happy hour conditions apply here too.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>
Presented by: Carolyn Seib, MD, Associate Professor of Surgery, Stanford University
Talk Title: TBD
Bio: Dr. 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.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>
Presented by: Sydney Conover, Qualitative Research Assistant, Center for Innovation and Implementation (Ci2i), Palo Alto Veterans Affairs
Talk Title: “Qualitative Methods for Generative AI: Insights from Extracting Smoking History from Clinical Notes.”
Bio: Sydney Conover is aqualitative research assistant within Center for Innovation and Implementation (Ci2i) at the Palo Alto VA. She graduated from Cal Poly, San Luis Obispo with a BS in Public Health, and a minor in Biology (2022). Her past qualitative work has focused on attitudes surrounding e-cigarettes and hepatitis B education. Her current research centers on the application of qualitative methodologies to Natural Language Processing, with the aim of developing an evaluation framework for analysis of text-based input and output data for modern large language models.
Anyone can attend and happy hour conditions apply here too.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>
Presented by:
Arash Fereydooni, MD, Vascular Surgery Resident, Stanford University &
Ben Liu, Research Assistant, Vascular Surgery, Stanford University
Talk Title: TBD
Bios:
Arash Fereydooni MD MS MHS is currently a 5th-year Stanford vascular surgery resident and a Cardiovascular Institute post-doctoral scholar at Dr. Shipra Arya’s lab. He is training to care for patients with complex vascular disease while also pursuing innovations that improve the clinical care of these patients.
Ben Liu is currently a research assistant at Dr. Shipra Arya’s lab. With interests at the intersection of computer vision and surgery, he has published research with the Stanford Machine Learning Group, Stanford Center for Innovation in Global Health, and Stanford Medical AI and Computer Vision Lab.
For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>