Stanford University
Showing 5,881-5,900 of 7,778 Results
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Stephen J. Roth
Professor of Pediatrics (Cardiology), Emeritus
Current Research and Scholarly InterestsRandomized Therapeutic Trials in Pediatric Heart Disease, NIH/U01 GrantNo. HL68285 2001-2006.
Heparin and the Reduction of Thrombosis (HART) Study. Pediatric Health Research Fund Award, Stanford Univ Sch of Medicine, 2005-2006.
A Pilot Trial fo B-type Natriuretic Peptide for Promotion of Urine Output in Diuretic-Resistant Infants Following Cardiovascular Surgery.Pediatric Health Research Fund Award, Stanford Univ Sch of Medicine, 2005-2006. -
Theodore Roth
Assistant Professor of Pathology
Current Research and Scholarly InterestsThe Roth Lab develops, applies, and translates scalable genetic manipulation technologies in primary human cells and complex in vivo tissue environments. Working with students, trainees, and staff with backgrounds across bioengineering, genetics, immunology, oncology, and pathology, the lab has developed CRISPR-All, a unified genetic perturbation language able to arbitrarily and combinatorially examine genetic perturbations across perturbation type and scale in primary human cells. Ongoing applications of CRISPR-All in the lab have revealed surprising capacities to synthetically engineer human cells beyond evolved cellular states. These new capacities to perturb human cell’s genetics beyond their evolved functionality drives ongoing work to understand the biology and therapeutic potential of synthetic cell state engineering - in essence learning how to build new human genes tailor made for a specific cell and specific environment to drive previously inaccessible therapeutic cellular functions.
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Walton T. Roth
Professor of Psychiatry & Behavioral Sciences, Emeritus
Current Research and Scholarly InterestsLaboratory and ambulatory recording of physiological, responses to stressors in anxious and phobic patients.
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Katherine Rothschild
Lecturer
Current Research and Scholarly InterestsFourth wave feminism has offered many opportunities for activism from anonymous or covert places, such as X and Tiktok. How effective are these new forms of linguistic activism?
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Grant M. Rotskoff
Assistant Professor of Chemistry
BioGrant Rotskoff studies the nonequilibrium dynamics of living matter with a particular focus on self-organization from the molecular to the cellular scale. His work involves developing theoretical and computational tools that can probe and predict the properties of physical systems driven away from equilibrium. Recently, he has focused on characterizing and designing physically accurate machine learning techniques for biophysical modeling. Prior to his current position, Grant was a James S. McDonnell Fellow working at the Courant Institute of Mathematical Sciences at New York University. He completed his Ph.D. at the University of California, Berkeley in the Biophysics graduate group supported by an NSF Graduate Research Fellowship. His thesis, which was advised by Phillip Geissler and Gavin Crooks, developed theoretical tools for understanding nonequilibrium control of the small, fluctuating systems, such as those encountered in molecular biophysics. He also worked on coarsegrained models of the hydrophobic effect and self-assembly. Grant received an S.B. in Mathematics from the University of Chicago, where he became interested in biophysics as an undergraduate while working on free energy methods for large-scale molecular dynamics simulations.
Research Summary
My research focuses on theoretical and computational approaches to "mesoscale" biophysics. Many of the cellular phenomena that we consider the hallmarks of living systems occur at the scale of hundreds or thousands of proteins. Processes like the self-assembly of organelle-sized structures, the dynamics of cell division, and the transduction of signals from the environment to the machinery of the cell are not macroscopic phenomena—they are the result of a fluctuating, nonequilibrium dynamics. Experimentally probing mesoscale systems remains extremely difficult, though it is continuing to benefit from advances in cryo-electron microscopy and super-resolution imaging, among many other techniques. Predictive and explanatory models that resolve the essential physics at these intermediate scales have the power to both aid and enrich the understanding we are presently deriving from these experimental developments.
Major parts of my research include:
1. Dynamics of mesoscale biophysical assembly and response.— Biophysical processes involve chemical gradients and time-dependent external signals. These inherently nonequilibrium stimuli drive supermolecular organization within the cell. We develop models of active assembly processes and protein-membrane interactions as a foundation for the broad goal of characterizing the properties of nonequilibrium biomaterials.
2. Machine learning and dimensionality reduction for physical models.— Machine learning techniques are rapidly becoming a central statistical tool in all domains of scientific research. We apply machine learning techniques to sampling problems that arise in computational chemistry and develop approaches for systematically coarse-graining physical models. Recently, we have also been exploring reinforcement learning in the context of nonequilibrium control problems.
3. Methods for nonequilibrium simulation, optimization, and control.— We lack well-established theoretical frameworks for describing nonequilibrium states, even seemingly simple situations in which there are chemical or thermal gradients. Additionally, there are limited tools for predicting the response of nonequilibrium systems to external perturbations, even when the perturbations are small. Both of these problems pose key technical challenges for a theory of active biomaterials. We work on optimal control, nonequilibrium statistical mechanics, and simulation methodology, with a particular interest in developing techniques for importance sampling configurations from nonequilibrium ensembles. -
Corey Rovzar
Instructor, Medicine - Stanford Prevention Research Center
Current Research and Scholarly InterestsEnhancing human movement through scalable, remotely delivered physical activity interventions, remote assessment and monitoring of human movement, health technology development, fall prevention, aging, digital balance assessment, improving access to health and healthcare, increasing healthspan, lifestyle medicine
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Mohana Roy, MD
Clinical Assistant Professor, Medicine - Oncology
BioDr. Roy is a medical oncologist and a clinical assistant professor in the Stanford University School of Medicine Department of Medicine, Division of Medical Oncology. She has expertise in Lung and Thoracic cancers, but with a broad clinical interest in oncology, including in Carcinoma of Unknown Primary (CUP).
Dr. Roy became an oncologist because of her passion for patient care. She is committed to being a clinician and is focused on improving the patient experience, given how the complex process of getting cancer care can be made a bit more seamless. She is the Associate Medical Director for Quality at Stanford Cancer Center from 2022.
She had led major efforts in the cancer program including starting standardized discharge follow up for patients after hospitalization, starting same day clinical care at the cancer center, and also expediting care for patients with an unclear diagnosis of cancer but with suspected imaging concerns.
Her research interests include access to clinical trials, quality improvement and improving care delivery. In that effort, she has published on work regarding patient reported outcomes (PROs), through distress screening with the Stanford Medicine Cancer Center, and in care for patient with limited English proficiency.
Dr. Roy received her medical degree from Albert Einstein College of Medicine, and then completed residency training at Beth Israel Deaconess Medical Center. She then completed fellowship training in Hematology and Oncology at Stanford, where she was chief fellow. -
Scott Rozelle
Helen C. Farnsworth Professor of International Agricultural Policy and Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly InterestsThemes related to China, especially agricultural policy, the emergence and evolution of markets and other economic institutions, and the economics of poverty and inequality.
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Chawannuch Ruaengsri
Clinical Assistant Professor, Cardiothoracic Surgery
Current Research and Scholarly Interests- Cardiac Transplant
- Mechanical Circulatory Support
- Atrial Fibrillation Surgery
- Minimally Invasive Cardiac Surgery -
Alexandra Ruan
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Alexandra Ruan is currently a Clinical Assistant Professor in the Department of Anesthesiology, Pain and Perioperative Medicine at Stanford University. She obtained her undergraduate degrees in Public Health and History of Science at The Johns Hopkins University, and subsequently returned to California for medical school at the University of Southern California Keck School of Medicine, where she graduated with a Distinction in Research in 2016. She completed her anesthesiology residency at Stanford University, where she was elected and served as Chief Resident during her CA-3 year.
Since graduating from residency, she stayed at Stanford Anesthesia, joining the Multi-Specialty Division (MSD), and completed an advanced clinical proctorship to join the liver transplant anesthesia group, a small select group of anesthesiologists within the MSD who also care for the patients undergoing liver transplantation.
Beyond clinical care, Dr. Ruan has authored several publications during her training, including most recently a review of anesthesia for robotic thoracic surgery, and continues to be involved in several scholarly projects. She has an interest in physician well-being, and is currently studying sleep disruption during resident night float. She also serves on the Stanford MD Admissions Panel as both a file reviewer and traditional interviewer.
You can follow her on Twitter: @RuanAlexandra
