School of Medicine
Showing 4,801-4,900 of 4,940 Results
-
Peter A Young
MSPA Instructional Faculty, Physician Assistant Studies
BioAs a Visiting Scholar in the Department of Dermatology, I am fortunate to have world-class mentors and colleagues who are committed to a collaborative approach to research. Having a family history of melanoma, I am passionate about investigating skin cancers and other skin conditions. In 2022, I was named Dermatology PA of the Year by the Society of Dermatology Physician Assistants, a national organization with over 4,700 members.
I have co-authored 30 academic publications on a variety of topics including dermatologic surgery, rare skin conditions, allergen content of skin care products, and the state of diversity within the dermatology profession. My writing has appeared in the Journal of the American Medical Association, Journal of the American Academy of Dermatology, Cutis, and elsewhere. My work has also been cited in UpToDate- the world’s most widely used evidence-based encyclopedia for medical professionals.
Most importantly, I believe in exercising empathy and compassion, taking the time to listen to patients as if they were family. To me, there is no greater responsibility or privilege than to be trusted with another person’s health. -
Linbo Yu
Clinical Instructor (Affiliated), Pediatrics - Genetics
BioLinbo Yu is a genetic counselor and a founding member of Stanford’s Genetic Testing Optimization Service (GTOS). She received her undergraduate degree from the University of California, Los Angeles in 2007 and her master’s degree in genetic counseling from the University of California, Irvine in 2009. She started her career at Ambry Genetics. In 2014, she became the first lab genetic counselor at Stanford Hospital and helped establish Genetic Testing Optimization Service (GTOS). As a passionate clinical liaison between Stanford Clinical Lab and the ordering providers at Stanford, some of her roles include assisting clinicians with selection of genetic tests, reviewing genetic test orders for clinical appropriateness and educating ordering providers about genetic diseases and test information. Linbo is also a clinical instructor of Department of Pediatrics, and she enjoys clinical supervision of genetic counseling students.
-
Mang Yu
BioDr. Yu is contributing to growing the School of Medicine’s portfolio of grants, especially those related to biomedical data science
https://orcid.org/0000-0003-3302-3180 -
Maya Yutsis
Clinical Assistant Professor (Affiliated), Neurology
Staff, NeurologyBioMaya Yutsis, Ph.D., ABPP-CN is a Clinical Assistant Professor (Affiliated) in the Department of Neurology and Neurological Sciences at the Stanford University School of Medicine. She is a neuropsychologist at the Stanford Alzheimer's Disease and Research Center (ADRC), Stanford Concussion and Sports Medicine Clinic, and Neuropsychology Service. She received her doctorate in clinical psychology at the Palo AltoUniversity in 2009, completed an APA approved clinical internship in neuropsychology at the Minneapolis VA Medical center and a two-year post doctoral fellowship in Clinical Neuropsychology at the Mayo Clinic in Rochester, MN in 2011. She received her board certification in Clinical Neuropsychology through the American Board of Professional Psychology. Prior to coming to Stanford, she worked as a lead neuropsychologist at the Veterans Affairs Palo Alto Polytrauma Transitional Rehabilitation Program and Geriatric Research Education and Clinical Center (GRECC) Telehealth Neuropsychology clinic and served as a director/preceptor of an APA-approved post-doctoral fellowship Neuropsychology Emphasis Area training program. She is currently a Newsletter Editor of the Society for Clinical Neuropsychology, APA Division 40. Her research interests focus on computerized assessment and interventions for persons with acquired brain injury, sport-related concussion, and mild cognitive impairment (MCI).
PUBLICATIONS (Selected from 15)
Yam, A, Rickards, T, Pawlowski, C, Yutsis, M. (in Press). Interdisciplinary Rehabilitation Approach for Functional Neurological Symptom (Conversion) Disorder: A Case Study. Rehabilitation Psychology
Duchnick, J, Ropacki, S.A., Yutsis, M.V., Petska, K., & Pawlowski, C.A., (2015). Polytrauma Transitional Rehabilitation Programs: Comprehensive, holistic rehabilitation for community integration after brain injury. Psychological Services, 5.
Yochim, B, Beaudreau, S, Fairchild, JK, Yutsis, M, Raymond, N, Friedman, L, Yesavage, J. (2015). A Verbal Naming Test for use with older adults: Development and initial validation. Journal of International Neuropsychological Society, 21, 239-248.
Bergquist, T, Yutsis, M, Sullan, M. (2014). Satisfaction with cognitive rehabilitation delivered via the Internet in persons with acquired brain injury. International Journal of Telerehabilitation, 6(2), 39-50.
Giese-Davis, J., Tamagawa, R., Yutsis, M., Twirbutt, S., Piemme, K., Neri, E., Taylor, C. B., Spiegel, D. (2012) Which symptoms matter? Self-report and observer discrepancies in repressors and high-anxious women with metastatic breast cancer. Journal of Behavioral Medicine, Published online October 20, 2012.
Yutsis, M., Bergquist, T., Micklewright, J. Smigielski, J., Brown, A. (2012) Pre-treatment compensation use is a better correlate of activity limitations than cognitive impairment in persons with acquired brain injury. Brain Injury, 26(11),1297-1306.
Bergquist, T., Micklewright, J., Yutsis, M., Smigielski, J., Gehl, C., Brown, A. (2012) Achievement of client-centered goals by persons with acquired brain injury in comprehensive day treatment is associated with greater vocational and residential independence at discharge and 1 year follow-up. Brain Injury,26(11), 1307-1314
Forducey, PG, Glueckauf, RL, Bergquist, R, Maheu, MM, Yutsis, M (2012). Telehealth for persons with severe functional disabilities and their caregivers: Facilitating self-care management in a home setting. Psychological Services, 9(2), 144-162. -
Mengrui Zhang
Senior Biostatistician, Med/Quantitative Sciences Unit
BioMengrui’s research focuses on leveraging advanced statistical and machine-learning techniques to extract meaningful insights from complex biological datasets. His research interests include bioinformatics, deep learning/machine learning, statistical testing, high-dimensional data, non-parametric modeling, time series analysis, and spatial statistics. Additionally, he is also interested in developing new methods, tools, and pipelines for various kinds of biological datasets, especially in single cell, RNA-Seq, metagenomics, and proteomics to support drug discovery and development.
-
Weiruo Zhang
Research Engineer, Biomedical Data Science
BioDr. Zhang is currently a research engineer at the Department of Biomedical Data Science, and the data manager in the Center for Cancer Systems Biology at Stanford. Dr. Zhang completed her M.S. and Ph.D. in Electrical Engineering, both from Stanford University. Her Ph.D. studies focused on developing machine learning (ML) algorithms for metabolomics data analysis using graph theory. She received Young Scientist Award from the Metabolomics Society for her algorithm on metabolic network analysis delineating the effects of genetic mutants and drug treatment on the metabolome. Her postdoctoral studies at the Department of Radiology, Stanford School of Medicine, integrated radiomic, genomic, transcriptomic, histopathologic and clinical data that identified a prognostic metabolic regulation biomarker for non-small cell lung cancer. She has developed open-source computational tools that have been appreciated by the broad research community and industry, including the CELESTA algorithm which has been incorporated into commercial analytical platform of NanoString. Dr. Zhang's research has made significant impacts in the fields of spatial multi-omics and cancer systems biology, and she has authored and co-authored publications including Cell, Nature Methods, Nature Communications etc.
Dr. Zhang's current research at Stanford primarily focuses on developing and implementing ML/AI approaches to integrate and analyze multi-modality data, including spatial multi-omics, radiologic imaging, histopathologic images and clinical data. Her research aims at bridging the gap between underlying disease molecular/cellular biology and clinical assessment to improve diagnostics, prognostics and treatment strategies. -
Yuan Zhang
Basic Life Research Scientist, Psych/Major Laboratories and Clinical & Translational Neurosciences Incubator
Current Role at StanfordBasic Life Research Scientist
