School of Medicine
Showing 91-100 of 534 Results
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Debadutta (Dev) Dash, MD, MPH
Clinical Assistant Professor, Emergency Medicine
BioDr. Dash is an emergency medicine physician. He delivers care in the Stanford Health Care level 1 trauma center. He is an assistant professor in the Department of Emergency Medicine at Stanford University School of Medicine.
He received fellowship training in clinical informatics at Stanford Health Care. He earned a Master of Public Health (MPH) degree from Harvard University.
His research interests include computer vision and natural language processing. He is also interested in quality assurance and quality improvement in digital health initiatives.
Other research projects of Dr. Dash include development of an image classification algorithm that helps predict hypoxic outcomes. He also worked on the development of a hardware and software system designed to provide real-time feedback about cardiac function at the patient’s bedside.
Dr. Dash was vice president of the American Medical Informatics Association Clinical Fellows while completing his fellowship. He was also a post-doctoral research fellow at the Stanford University Center for Artificial Intelligence in Medicine & Imaging.
He is a member of the American College of Emergency Physicians and American Academy of Emergency Medicine.
He speaks English and Oriya fluently. He also speaks, reads, and writes Japanese and Spanish with intermediate competence.
His interests outside of patient care include piano, computer programming, sustainable energy projects, and cooking multi-course East Asian meals. -
Rajesh Dash, MD PhD; Director of SSATHI & CardioClick
Associate Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsI have two research areas:
1) Heart disease in South Asians - genetic, metabolic, & behavioral underpinnings of an aggressive phenotype.
2) Imaging cell injury & recovery in the heart. Using Cardiac MRI to visualize signals of early injury and facilitating preventive medical therapy. Optimizing new imaging methods for viable cells to delineate live heart cells or transplanted stem cells. -
Laura M.K. Dassama
Assistant Professor of Chemistry and of Microbiology and Immunology
BioLaura Dassama is a chemical biologist who uses principles from chemistry and physics to understand complex biological phenomena, and to leverage that understanding for the modulation of biological processes. Her current research focuses on deciphering the molecular recognition mechanisms of multidrug transporters implicated in drug resistance, rational engineering and repurposing of natural products, and control of transcription factors relevant to sickle cell disease.
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Somalee Datta
Director of Research IT, Technology & Digital Solutions
Current Role at StanfordI am currently the Director of Research IT at School Medicine. Research IT is a critical part of Stanford's Precision Health Strategy and exists to supply infrastructure, tools, and services used by researchers, patients/participants, and clinicians to collect and combine data to make discoveries and to improve human health and wellness. Our team builds and maintains STARR (STAnford medicine Research data Repository), Stanford REDCap, CHOIR and mHealth platforms and builds custom applications to streamline hundreds of studies.
I joined Stanford in Oct 2012 as the Director of Bioinformatics at Stanford Center for Genomics and Personalized Medicine (SCGPM). My responsibility at the Center was to develop and lead the bioinformatics team and establish a genomics data analysis facility. Currently, SCGPM bioinformatics team is comprised of a dozen scientists and software engineers. The team has a wide range of skill sets including omics, computational biology, machine learning, software engineering, data management, Databases, Visualization, High Performance Computing, IT, and Cloud DevOps. The team is currently supporting several large scale research and clinical programs at Stanford including prestigious consortium efforts and inter-disciplinary collaborations. The team also supports Genetics Bioinformatics Service Center (2013-), a facility that provides best-in-class high performance computational systems, scalable Cloud computing and cutting edge bioinformatics services for the Stanford community.
