School of Medicine
Showing 331-340 of 584 Results
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Juan Rivas-Davila
Associate Professor of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsModern applications demand power capabilities beyond what is presently achievable. High performance systems need high power density and bandwidth that are difficult to achieve.
Power density can be improved with better semiconductors and passive componets, and by reducing the energy storage requirements of the system. By dramatically increasing switching frequency it is possible to reduce size of power converters. I'm interested in high performance/frequency circuits switching >10 MHz. -
Lucia Angelica Rivera Lara, MD, MPH
Clinical Associate Professor, Adult Neurology
BioDr. Rivera-Lara is a neurocritical care fellowship-trained neurologist and a clinical associate professor in the Department of Neurology at Stanford University School of Medicine.
As a member of the neurocritical care team, Dr. Rivera-Lara expertise focuses on the prompt, careful assessment and treatment of patients who suffer stroke, cerebral hemorrhage, and seizures.
In her research, Dr. Rivera-Lara has studied innovations to control blood flow and relieve intracranial pressure in patients with hemorrhage. Her findings have been published in journals including Critical Care Medicine, Neurocritical Care, Stroke, Seizure, the Journal of Neurosurgery and Anesthesiology, JAMA, and presented at the International Stroke Conference, the Critical Care Conference, and at meetings of the American Academy of Neurology and Neurocritical Care Society.
She has co-authored book chapters on stroke management, neurocritical patient monitoring, antiepileptic drug therapies, brain injury after cardiac arrest, and other topics. In addition, she has served as an editorial reviewer for publications including Neurology, Critical Care Medicine, the Journal of Critical Care, Neurocritical Care and Frontiers of Neurology.
Dr. Rivera-Lara earned a Clinical Reaserch Fellowship Training award from the American Academy of Neurology and American Brain Foundation. She was nominated for the Best Consulting Physician Award, one of only a few clinical honors bestowed annually on physicians and care teams by Johns Hopkins Medicine.
She has served on the INCC committee (Inclusion for Neurocritical Care) at the Neurocritical Care Society since 2021. She is a member of the Latino Faculty Advocacy Group (LFAM) at Stanford Hospital and a Career Advisor for The Latino Medical School Association (LMSA) Neuro Specialty Section Team. She is also a Global Health Faculty Fellow at Stanford University for her work in eliminating health disparities in Latin America. She founded “Conferencias de Cuidado Neurocrítico,” which are bimonthly lectures in Neurocritical Care Emergencies and Stroke Management in Spanish via Zoom, with an audience of more than 100 doctors from Latin American countries such as Mexico, Guatemala, Colombia, Paraguay, Bolivia, Argentina, and others. -
Norman Rizk
Berthold and Belle N. Guggenhime Professor, Emeritus
Current Research and Scholarly InterestsI am interested in the prevention and control of critical care-related illnesses and complications, including ventilator-associated pneumonia, spread of nosocomial infections, and prognosis of multiple organ system failure in intensive care units. Infections and complications of therapy in immunocompromised hosts, including effects of chemotherapy and hematopoetic stem cell transplants is another interest.
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Jorge Roa
Software Developer Associate, Health Policy
BioJorge Roa is a software developer and data scientist in the Department of Health Policy at Stanford University. Prior to joining Stanford, Jorge completed a research fellowship in the Department of Statistics at the University of Munich. He holds an M.Sc. in Data Science for Public Policy from the Hertie School in Berlin, Germany. Jorge earned a B.A. in Public Policy from the Center for Research and Teaching in Economics (CIDE) in Aguascalientes, Mexico. His work has focused on gastric and colorectal cancer research, helping apply Bayesian methods and decision-analytic models, as well as creating and optimizing algorithms. He also has experience in developing and implementing open-source R packages. Jorge is part of the colorectal cancer group within the Cancer Intervention and Surveillance Modeling Network (CISNET). His research centers on employing data science tools and decision-analytic models to make informed decisions based on data and evidence to improve people’s lives.
