School of Medicine
Showing 1-10 of 46 Results
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Marlene Rabinovitch
Dwight and Vera Dunlevie Professor of Pediatric Cardiology
Current Research and Scholarly InterestsOur research program seeks to identify the cellular and molecular programs regulating vascular and lung development, through the use of cultured cells and tissues and mouse and rat models. We then determine how these programs are perturbed by genetic abnormalities or injurious processes associated with disease, focusing on pulmonary arterial hypertension (PAH), a fatal complication in children with heart defects, and a condition of unknown etiology primarily in young women.
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Vasiliki Rahimzadeh
Member, Maternal & Child Health Research Institute (MCHRI)
BioVasiliki (Vaso) Rahimzadeh, PhD is an applied bioethics scholar with research interests at the intersection of precision medicine, data governance and public policy.
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Ram Rajagopal
Associate Professor of Civil and Environmental Engineering and of Electrical Engineering
BioRam Rajagopal is an Associate Professor of Civil and Environmental Engineering at Stanford University, where he directs the Stanford Sustainable Systems Lab (S3L), focused on large-scale monitoring, data analytics and stochastic control for infrastructure networks, in particular, power networks. His current research interests in power systems are in the integration of renewables, smart distribution systems, and demand-side data analytics.
He holds a Ph.D. in Electrical Engineering and Computer Sciences and an M.A. in Statistics, both from the University of California Berkeley, Masters in Electrical and Computer Engineering from University of Texas, Austin and Bachelors in Electrical Engineering from the Federal University of Rio de Janeiro. He is a recipient of the NSF CAREER Award, Powell Foundation Fellowship, Berkeley Regents Fellowship and the Makhoul Conjecture Challenge award. He holds more than 30 patents and several best paper awards from his work and has advised or founded various companies in the fields of sensor networks, power systems, and data analytics. -
R J Ramamurthi
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsProspective collection of pediatric regional block procedures and complications on to a national database
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Mahalakshmi Ramamurthy
Postdoctoral Scholar, Developmental Behavioral Pediatrics
BioI am a postdoctoral scholar working with Dr. Jason Yeatman. With a background in optometry, vision science, psychophysics and cognitive neuroscience my long-term goal is to study the intersection of basic visual mechanisms and various neurodevelopmental disorders and to extend this understanding in creating effective early screening tools, and in advancing evidence-based therapeutic and remediation programs. Inherent to this interest is the need for developmental data in large and demographically diverse populations. I strongly believe that such inclusive research not only contributes to scientific advancements but can go beyond to bridge health and education disparities. I joined the Brain Development and Education lab at Stanford after taking a medical break. During my break, I had the opportunity to run a vision screening camp for a school for differently abled children. Many children with a learning disability are misunderstood to have a vision problem making optometrist the first people to diagnose the disability but intervention stops at that point. This kindled my curiosity and I soon discovered the lack of converging understanding on the role of visual processing in dyslexia that in turn limits the possibility of evidence-based intervention. I was deeply interested in understanding the role of vision and attention in dyslexia. Over the past three years, I developed visual measures based on the most cited hypothesis in the dyslexia literature. These measures were designed such that they inform us about the hypothesized construct in an ecologically relevant paradigm for reading. I developed a validation scheme where measures are first deployed on the adult population and various behavioral and eye tracking aspects of the measure are characterized. The measures are built on a browser-based platform (using PsychoPy© and jsPsych©) where they are validated against the laboratory-based measurements. All the web-based visual measures have timing parameters optimized to ensure measurement validity. Over the past year, I have focused on optimizing these visual measures to make them adaptive, short, and reliable for kindergarten and first grade children. My goal in the current project is to leverage this battery of visual measures to understand how visual deficits are linked to the development of reading disorders. The web-based assessments are designed to be deployed to a large and diverse population of unprecedented scale.
