School of Medicine
Showing 8,451-8,500 of 12,898 Results
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Pritam Kumar Panda
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsDr. Panda’s current research at Stanford University School of Medicine centers on the innovative design of anesthetics optimized for battlefield application. His work integrates advanced methodologies such as AI-driven protein design, molecular dynamics simulations, and computational drug design to identify and model potential anesthetic compounds with precision and efficacy.
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Vijay Pande
Adjunct Professor, Structural Biology Department
BioVijay Pande, Henry Dreyfus Professor of Chemistry and, by courtesy, of Structural Biology and Computer Science, also currently directs of the Stanford Program in Biophysics and the Folding@home Distribtued Computing project. His research centers on novel cloud computing simulation techniques to address problems in chemical biology. In particular, he has pioneered distributed computing methodology to break fundamental barriers in the simulation of protein and nucleic acid kinetics and thermodynamics. As director of the Folding@home project (http://folding.stanford.edu), Prof. Pande has, for the first time, directly simulated protein folding dynamics, making quantitative comparisons with experimental results, often considered a “holy grail” of computational biology. His current research also includes novel computational methods for drug design, especially in the area of protein misfolding and associated diseases such as Alzheimer’s and Huntington’s Disease.
Professor Pande studied physics at Princeton University (B.A. 1992), where he was first introduced to biophysical questions, especially in undergraduate research with Nobel Laureate P. Anderson. His doctoral research in physics under Profs. T. Tanaka and A. Grosberg at MIT (Ph.D. 1995) centered on statistical mechanical models of protein folding, suggesting new ways to design protein sequences for stability and folding properties. As a Miller Fellow under Prof. D. Rokhsar at UC Berkeley, Prof. Pande extended this methodology to examine atomistic protein models, laying the foundations for his work at Stanford University. Among numerous awards, Prof. Pande has received the Biophysical Society’s Bárány Award for Young Investigators and Protein Society’s Irving Sigal Young Investigator Award, and was named to MIT’s TR100 and elected a Fellow of the American Physical Society.
The Pande research group develops and applies new theoretical methods to understand the physical properties of biological molecules such as proteins, nucleic acids and lipid membranes, using this understanding to design synthetic systems including small-molecule therapeutics. In particular, the group examines the self-assembly properties of biomolecules. For example, how do protein and RNA molecules fold? How do proteins misfold and aggregate? How can we use this understanding to tackle misfolding related degeneration and develop small molecules to inhibit disease processes?
As these phenomena are complex, spanning molecular to mesoscopic lengths and nanosecond to millisecond timescales, the lab employs a variety of methods, including statistical mechanical analytic models, Markov State Models, and statistical and informatic methods. Other tools include Monte Carlo, Langevin dynamics, and molecular dynamics computer simulations on workstations and massively parallel supercomputers, superclusters, and worldwide distributed computing. The group has also done extensive work in the application of machine learning, pioneering traditional and deep learning approaches to cheminformatics, biophysics and drug design.
For example, simulations in all-atom detail on experimentally relevant timescales (milliseconds to seconds) have produced specific predictions of the structural and physical chemical nature of protein aggregation involved in Alzheimer’s and Huntington’s diseases. These results have fed into computational small molecule drug design methods, yielding interesting new chemical entities.
Since such problems are extremely computationally demanding, the group developed a distributed computing project for protein folding dynamics. Since its launch in October 2000, Folding@Home has attracted more than 4,000,000 PCs, and today is recognized as the most powerful supercluster in the world. Such enormous computational resources have allowed simulations of unprecedented folding timescales and statistical precision and accuracy. For more details, please visit http://pande.stanford.edu. -
Mahesh Pandit
Postdoctoral Scholar, Immunology and Rheumatology
BioI have completed my PhD in Immunology from Yeungnam University, South Korea. I studied adaptive immune cells especially focusing T cells and its relation to autoimmunity and tumor. I worked on different conditional knockout mice to investigate the cellular mechanisms. Similarly, I worked on disease induced mice to study its preventive and therapeutic approaches. Currently, I am working on Translational immunology as a Postdoctoral Researcher at Stanford University department of Immunology and Rheumatology. I focus on Epstein-Barr Virus, B cells and its relation with various autoimmune diseases.
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Danielle Mari Panelli
Instructor, Obstetrics & Gynecology - Maternal Fetal Medicine
BioDr. Danielle Panelli, MD, MS is an Instructor in Maternal–Fetal Medicine in the Department of Obstetrics and Gynecology at Stanford University School of Medicine. She completed Ob/Gyn residency training at Harvard (Brigham and Women’s Hospital/Mass General Hospital), and both fellowship training in Maternal–Fetal Medicine and a Masters Degree in Epidemiology and Clinical Research at Stanford.
Dr. Panelli is a clinician–scientist whose work bridges clinical and translational research to understand how stress and mental health shape pregnancy outcomes and postpartum recovery. Her research program focuses on psychobiologic markers of stress—including telomere dynamics and epigenetic aging—to advance precision medicine approaches for perinatal mental illness and pregnancy complications.
Clinically, she cares for routine and high-risk obstetric patients and integrates trauma-informed, evidence-based approaches into care delivery. She is committed to mentorship and education, serves as Director of Research for the Maternal–Fetal Medicine Fellowship, and contributes to national leadership and scholarship in perinatal mental health. -
Anil K. Panigrahi, MD, PhD, FASA
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Associate Professor (By courtesy), PathologyBioDr. Anil Panigrahi is a Clinical Associate Professor in the Departments of Anesthesiology and, by courtesy, Pathology at Stanford University School of Medicine. Dual board-certified in Anesthesiology and Blood Banking/Transfusion Medicine, he maintains active clinical practice in both fields. He serves as Director of Patient Blood Management at Stanford Health Care, Chair of the Stanford Health Care Transfusion Committee, Medical Director of the Anesthesiology Perioperative Anemia Management Clinic, and Assistant Medical Director of the Stanford Health Care Transfusion Service. His academic and clinical leadership focuses on advancing perioperative blood management strategies to optimize outcomes in complex surgical patients.
A Phi Beta Kappa graduate of Duke University, Dr. Panigrahi received his M.D. and Ph.D. degrees from the University of Pennsylvania School of Medicine, where he was awarded the John G. Clark Prize for meritorious research. He completed residency training in Anesthesiology and fellowship in Blood Banking/Transfusion Medicine at Stanford University.
Dr. Panigrahi’s scholarly work spans immunology, transfusion safety, and patient blood management. He has authored numerous peer-reviewed publications, textbook chapters, including for Miller’s Anesthesia and the AABB Technical Manual, and national guidelines. He contributes nationally through service on multiple committees for the American Society of Anesthesiologists (ASA) and the Association for the Advancement of Blood and Biotherapies (AABB), and he is a frequent invited speaker at national and international meetings, including those of the ASA, AABB, and Society for the Advancement of Patient Blood Management (SABM). -
Heather Ryan Pankow
Life Science Rsch Prof 2, Psych/General Psychiatry and Psychology (Adult)
Current Role at StanfordLife Science Research Professional 2 in The Depression Research Clinic
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Sofia Pantis
Research Assistant, Neurology Research
Current Role at StanfordResearch Assistant - Laboratory of Behavioral and Cognitive Neuroscience (Parvizi Lab) - Stanford School of Medicine, Department of Neurology and Neurological Sciences
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Lori D Panu
Sr. Program Manager, Clinical Research Operations, Med/Stanford Center for Clinical Research
Current Role at StanfordSr. Program Manager, Clinical Research Operations
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Alan C. Pao
Associate Professor of Medicine (Nephrology) and, by courtesy, of Urology
Current Research and Scholarly InterestsWe are broadly interested in how the kidneys control salt, water, and electrolyte homeostasis in the body. Our disease focus is on kidney stone disease. We use cultured kidney cells, transgenic mice, human plasma/urine samples, and electronic health record data to study the pathogenesis of kidney stone disease. Our therapeutic focus is on the development of small molecule compounds that can be used for kidney stone prevention.
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Sara Pardej
Postdoctoral Scholar, Psychiatry
BioSara Pardej earned her BA in Psychology and BS in Cognitive Science at Marquette University. Afterwards, she attended the Clinical Psychology Doctoral Program at the University of Wisconsin-Milwaukee under the mentorship of Dr. Bonita P. Klein-Tasman, where she earned both her MS and PhD in Clinical Psychology. There, she worked on several studies focusing on youth with neurofibromatosis type 1 (NF1), including behavioral phenotyping work, psychometric studies, and a social skills intervention study. Her dissertation study, which was funded by a Young Investigator Award from the Children's Tumor Foundation, focused on examining event related potentials using EEG by comparing children with NF1 to children with idiopathic ADHD and unaffected children. She completed her Doctoral Internship in Clinical Psychology at Penn State Health in Hershey, Pennsylvania. While at Penn State, she also worked on research examining safety and psychopathology in youth with ADHD and/or autism. Her clinical interest is neuropsychology, and her research interests include issues of psychometrics, behavioral phenotyping, and the neuropsychological development (and subsequent areas of intervention) of individuals with NF1 across the lifespan.
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Vedant Pargaonkar
Basic Life Research Scientist, Medicine - Med/Cardiovascular Medicine
BioMy long-term research interests involve development of algorithms using computational methods for early detection of coronary pathophysiology including, endothelial dysfunction and microvascular dysfunction (MVD) and/or a myocardial bridge (MB) in patients with angina and no obstructive coronary artery disease (NOCAD) and the identification of novel target therapies for primary prevention and improved prognosis in these patients. Under the mentorship of Dr. Jennifer Tremmel in Cardiovascular medicine at Stanford, I have been systematically studying to better understand the underlying pathophysiology of these patients, as well as the optimal use of diagnostic testing and treatment using the angina and no-obstructive CAD Registry at Stanford. In collaboration with other investigators in this field, we have published multiple scientific articles highlighting the limitations of current testing in this population and identification of novel diagnostic tools for early diagnosis and management of patients with angina and no obstructive CAD. My research also focuses on myocardial infarction (MI) in women, particularly spontaneous coronary artery dissection (SCAD). I have been involved in the design and execution of the first international collaborative study in SCAD, investigating peripartum vs. non-peripartum SCAD. This is analyzing the largest cohort of patients recruited from multiple US and non-US sites to understand the pathophysiological differences in these patient cohorts.
