School of Medicine
Showing 921-940 of 982 Results
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Jonathan Mulholland
Director, CSIF, School of Medicine - CMGM
Current Role at StanfordDirector of the Cell Sciences Imaging Facility, CSIF
confocal/electron microscopy services
http://microscopy.stanford.edu/
Beckman Center, B050 -
Sandeepa Mullady, MD
Clinical Assistant Professor, Adult Neurology
BioDr. Mullady is a board-certified neurologist providing care at Stanford Health Care’s Memory Disorders Center. She completed a memory and aging fellowship at the University of California, San Francisco. She is also a clinical assistant professor in the Department of Neurology and Neurological Sciences at Stanford University School of Medicine.
Dr. Mullady specializes in memory disorders and aging. She has a particular interest in caring for homeless patients with neurological conditions.
She is passionate about educating both patients and colleagues. She seeks to improve health literacy in underserved communities. She has mentored students, organized seminars and conferences, and lectured about rare neurological cases and issues related to social justice.
Dr. Mullady excels in community outreach, health advocacy, and leadership. She has organized and directed outreach programs at women’s shelters, clinics for the homeless, and an alcohol and drug rehabilitation center. She has also developed programs to encourage childhood reading at home and to educate underserved communities about neurodegenerative disorders.
She has published peer-reviewed articles in Frontiers of Neurology that report her research on the effects of homelessness on neurocognitive health. She has also presented posters at regional and national conferences on the topics of interprofessional health coaching and the effects of homelessness on mental function. -
Ann Mullally
Professor of Medicine (Hematology)
Current Research and Scholarly InterestsDr. Ann Mullally's aboratory studies the genetics, biology and therapy of myeloid blood cancers, with a focus on myeloproliferative neoplasms (MPN). Using primary human samples, mouse models, genomics, single-cell sequencing and CRISPR, as well as cellular and molecular biology, the lab has investigated the key genetic events underlying MPN pathogenesis. Dr. Mullally’s lab elucidated the mechanism by which mutant calreticulin (CALR) is oncogenic and causes MPN.
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Martin Stefan Mumenthaler
Adjunct Professor, Psych/Public Mental Health & Population Sciences
BioMartin Mumenthaler has a PharmD and a PhD in psychopharmacology from the University of Bern, Switzerland. He holds an appointment as Adjunct Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine where he has been conducting research programs in addiction medicine and psychopharmacology, and teaching and mentoring medical students and residents on a voluntary basis.
Dr. Mumenthaler has also been working in various full-time positions in the pharmaceutical industry as Director in Clinical Development as well as in Medical Affairs, and as a consultant for early-stage pharma- and biotech companies providing advice on designing and conducting clinical trials, and analyzing and interpreting study results, mainly in the field of addiction medicine and pain.
His academic research has focused on the effects of psychoactive drugs on human performance, Aerospace Medicine, Alzheimer’s disease, and addiction medicine, and in these areas he has presented his results internationally and published over twenty-five peer-reviewed scientific articles. He has also served as a reviewer for various scientific journals, and is a member of the Research Society on Alcoholism, and an Associate Fellow of the Aerospace Medical Association. -
Tushar Mungle
Postdoctoral Scholar, Biomedical Informatics
Current Research and Scholarly InterestsUse electronic health records (EHRs) to identify and classify common ocular diseases such as glaucoma, diabetic retinopathy, and macular degeneration. We aim to develop an approach to accurately identify these conditions using EHRs. This will be followed by cluster analysis to identify novel subtypes of these conditions that have not been recognized before. Finally, we will develop an approach to extract outcome data from EHRs for patients with these conditions in the primary care setting.
