Stanford University
Showing 21,921-21,940 of 34,488 Results
-
Marcus Nobrega Gomes Jr
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly InterestsBy recreating high-resolution flood maps for the last 50 years in California, my research aims to cross-correlate flood hazard maps with medical records to investigate whether a causal relation exists.
-
Chloe Nobuhara
Masters Student in Epidemiology and Clinical Research, admitted Autumn 2025
BioDr. Chloe Nobuhara is a Stanford general surgery resident and AI researcher dedicated to upholding patient safety standards while pursing aggressive surgical innovation. Currently on a two-year professional development track during residency, her research explores the intersection of AI and surgical practice. She has collaborated with the Medical AI and Computer Vision (MARVL) Lab to use computer vision and vision language models for performance assessment, worked with the Operating Room Black Box technologies for ambient intelligence and automated documentation, and most recently is helping to organize a foreign body identification challenge for MICCAI.
Dr. Nobuhara holds an MD from Duke University and an undergraduate degree from Northeastern University. Originally hailing from Honolulu, Hawaii, she brings a global perspective to her work, having flown over 100,000 miles (4x around the globe) for speaking engagements and conferences during her research time. -
Julia E. Noel, MD
Clinical Assistant Professor (Affiliated), OHNS/Head & Neck Surgery Divisions
Staff, OHNS/Otolaryngology/Head & Neck SurgeryBioDr. Noel is a head and neck surgeon with fellowship training in endocrine surgery, specializing in surgery of the thyroid and parathyroid gland and lymph nodes. She is the chief of Otolaryngology Head & Neck Surgery at Santa Clara Valley Medical Center and an affiliate assistant professor in the Stanford School of Medicine.
Among the many conditions she treats are thyroid cancer, thyroid nodules, hyperthyroidism, hyperparathyroidism, hypercalcemia, Grave’s disease, and goiter. She has expertise and training in minimally invasive treatment approaches and ultrasound-guided techniques performed in the office, such as radiofrequency ablation (RFA) and alcohol ablation.
For every patient, Dr. Noel prepares a personalized care plan that is comprehensive and compassionate. Her goal is to educate and empower each patient to achieve the best possible health and quality of life. Patient reviews praise her clinical expertise as well as her skills as a listener and communicator.
Dr. Noel conducts a robust research program to advance patient care. She has published extensively on the diagnosis, appropriate management, and optimization of outcomes for patients with thyroid and parathyroid disorders. Her articles have appeared in JAMA Otolaryngology Head and Neck Surgery, Nature Communications, Endocrine Practice, and many more peer-reviewed journals. She has co-authored numerous guideline and consensus statements, including an international statement on the use of RFA in benign and malignant thyroid nodules. She is an editorial board member for VideoEndocrinology, a video journal covering leading-edge diagnostic and treatment techniques and technologies, and has served as an associate editor for Laryngoscope Investigative Otolaryngology.
Dr. Noel has made presentations to her peers at national and international meetings of the American Academy of Otolaryngology, Head & Neck Surgery, American Thyroid Association, American Head & Neck Society, and the World Congress of Thyroid Cancer. She also has shared her insights into the future of thyroid surgery at the International Thyroid Cancer Survivors’ Conference.
She is a member of the American Academy of Otolaryngology and Head and Neck Surgery, American Head and Neck Society, American Thyroid Association, American College of Surgeons, and the North American Society for Interventional Thyroidology, of which she has served on the executive council since 2023. -
Hae Young Noh
Professor of Civil and Environmental Engineering
BioHae Young Noh is a professor in the Department of Civil and Environmental Engineering. Her research introduced the new concept of “structures as sensors” to enable physical structures (e.g., buildings and vehicle frames) to be user- and environment-aware. In particular, these structures indirectly sense humans and surrounding environments through their structural responses (i.e., vibrations) by inferring the desired information (e.g., human behaviors, environmental conditions, heating and cooling system performance), instead of directly measuring the sensing targets with additional dedicated sensors (e.g., cameras, motion sensors). This concept brought a paradigm shift in how we view these structures and how the structures interact with us.
Traditionally, structures that we inhabit (such as buildings or vehicles) are considered as passive and unchanging objects that we need to monitor and control, utilizing a dense set of sensors to collect information. This has often been complicated by “noise” caused by the occupants and environments. For example, building vibrations induced by indoor and outdoor environmental and operational conditions (e.g., people walking around, traffic outside, heating system running, etc.), have been often seen as noise that needs to be removed in traditional building science and structural engineering; however, they are a rich source of information about structure, users, environment, and resources. Similarly, in vehicle engineering, researchers and engineers have been investigating control and dynamics to reduce vehicle vibration for safety and comfort. However, vibrations measured inside vehicles contain information about transportation infrastructure, vehicle itself, and driver.
Noh's work utilizes this “noise” to empower the structures with the ability to perceive and understand the information about users and surroundings using their own responses, and actively adopt and/or interact to enhance their sustainability and the occupants’ quality of life. Since she utilizes the structure itself as a sensing medium, information collection involves a simpler set of hardware that can be easily maintained throughout the structural lifetime. However, the analysis of data to separate the desired information becomes more challenging. This challenge is addressed through high-rate dynamic sensing and multi-source inferencing. Ultimately, her work aims to allow structural systems to become general sensing platforms that are easier and more practical to deploy and maintain in a long-term.
At Stanford University, Noh received her PhD and MS degrees in the CEE department and her second MS degree in Electrical Engineering. Noh earned her BS in Mechanical and Aerospace Engineering at Cornell University.
