School of Medicine
Showing 81-100 of 149 Results
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Piru Pathmarajah
Postdoctoral Scholar, Dermatology
BioDr Pirunthan Pathmarajah graduated from University College London Medical School in 2016 and intercalated with a first-class Bachelor of Science in Medical Sciences with Physiology. He successfully completed a clinical elective in Allergy and Immunology at Yale New Haven Hospital, USA. He has continued to specialise in Dermatology, training at Broomfield Hospital and Basildon Hospital in the UK. His key academic interests are in medical dermatology with respect to eczema and psoriasis which he continues to pursue as part of the clinical research team at the St John’s Institute of Dermatology. He is currently undertaking a Postdoctoral Fellowship at Stanford University studying genotype-phenotype associations in Epidermolysis Bullosa and validating a novel scoring instrument with the aim of developing novel therapeutics for patients with this rare complex condition.
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Andrea Pedroza Tobias
Postdoctoral Scholar, General Pediatrics
BioDr. Andrea Pedroza is a postdoctoral scholar at Stanford Impact Labs and the Department of Pediatrics in the Partnerships for Research in Child Health Lab. She earned a Ph.D. in Global Health from the University of California, San Francisco (UCSF) and a Master of Science in Nutrition from the National Institute of Public Health in Mexico (INSP). Her research focuses on generating evidence for interventions and policy recommendations aimed at improving the dietary quality of children to impact their health and development. Currently, she is employing a community-engaged approach to design nutrition interventions and policy recommendations that aim to reduce the consumption of ultra-processed foods among low-income children to narrow the gap in health disparities.
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Martin Pfaller
Instructor, Pediatrics - Cardiology
BioMartin R. Pfaller is an Instructor in the Department of Pediatrics (Cardiology) in the group of Alison L. Marsden. He received his B.Sc., M.Sc., and Ph.D. in Mechanical Engineering from the Technical University of Munich, working with Wolfgang A. Wall. During his Ph.D., he validated an efficient yet physiologically accurate boundary condition to account for the mechanical support of the heart within its surroundings, which has been adopted by various research groups worldwide. He further demonstrated how projection-based model order reduction could speed up model personalization from patient data, such as magnetic resonance imaging or blood pressure measurements. His current work focuses on cardiovascular fluid dynamics. He developed reduced-physics models to make blood flow simulations faster and more reliable. Further, he developed a fluid-solid-growth interaction model in blood vessels. His future research will predict the heart’s long-term function in heart diseases, supported by an NIH Pathway to Independence Award (K99/R00) and Stanford MCHRI Instructor K Award Support. He will quantify the risk of heart failure after a heart attack with a stability analysis validated with imaging data in swine and humans. This research will improve our understanding of biomechanical mechanisms leading to heart failure and help to identify patients at risk, enable personalized therapies, and facilitate the optimal design of medical devices. As an Assistant Professor, Martin will start his research group at Yale University in the Department of Biomedical Engineering in July 2024.
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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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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.
