Stanford University
Showing 23,851-23,900 of 36,204 Results
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Minggui Pan, MD, PhD
Clinical Professor, Medicine - Oncology
BioDr. Pan is a board-certified, fellowship-trained medical oncologist with the Stanford Medicine Cancer Center and a clinical professor in the Department of Medicine, Division of Oncology.
He diagnoses and treats various oncological conditions and specializes in the treatment of bone and soft tissue sarcoma. He creates personalized and comprehensive care plans for each patient he serves.
Dr. Pan’s research focuses include understanding how genomic alterations impact the biological behavior and prognosis of sarcomas. In his work, he identifies new targets for developing innovative therapeutics for sarcoma treatment.
Dr. Pan has more than eighty publications and presented many abstracts in several cancer and immunology conferences. His papers have been published in the Journal of Clinical Oncology, JCO Precision Oncology, Clinical Cancer Research, Nature Review Clinical Oncology, Nature Nanotechnology, Frontier Endocrinology, JCO Oncology Practice, Journal of Hematology and Oncology, British Journal of Cancer Reports, and other peer-reviewed journals. He has also presented to his peers at international, national, and regional meetings, including the annual meetings of American Society of Clinical Oncology (ASCO), American Association for Cancer Research (AACR), European Society for Medical Oncology (ESMO), Chinese Society Of Clinical Oncology (CSCO), Connective Tissue Oncology Society (CTOS) and others.
Dr. Pan is a member of American Society of Clinical Oncology, American Association for Cancer Research, American Association of Immunologists, American Association for Advancement of Science, Society for Immunotherapy of Cancer, and Connective Tissue Oncology Society. Dr. Pan is also an adjunct investigator with Kaiser Permanente Division of Research. -
Stephanie Jiaying Pan
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
BioStephanie Pan, MD, is a Clinical Associate Professor at the Stanford University School of Medicine and a pediatric and regional anesthesiologist at the Lucile Packard Children’s Hospital. As the Associate Clinical Director for the pediatric anesthesiology division at Stanford, she is also a Local Mentor for the ASA Diagnostic POCUS Certificate Program, vice chair of POCUS for the SPA-SPPM UltRA POCUS SIG, and recipient of the ASRA Early-Stage Investigator Grant. Her clinical interests include perioperative methadone, pediatric regional anesthesia, pediatric POCUS, and pediatric orthopedic spine surgeries.
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William Pan
Masters Student in Electrical Engineering, admitted Autumn 2022
BioI am a junior at Stanford University studying Mechanical Engineering and Electrical Engineering. My goal in life is to build the future through translational medical technologies and purposeful ventures.
Things I have built: health{hacks}, bicompatible hydrogel ostomy adhesive, kinesthetic latticed programmable tape -
John Christopher (J.C.) Panagides
Affiliate, Department Funds
Resident in Rad/Interventional RadiologyBioCurrent Integrated Interventional and Diagnostic Radiology (IR/DR) Resident at Stanford Medicine and recent graduate of Harvard Medical School (Class of 2023) with deep interests in emerging applications of interventional and diagnostic radiology, minimally invasive procedures, and biomedical engineering. Extensive experience in biomedical project design and clinical research in predictive analytics, radiology practice management, and population health outcomes.
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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.
