School of Medicine
Showing 41-50 of 78 Results
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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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Wei Peng
Postdoctoral Scholar, Psychiatry
BioI am a Postdoctoral Researcher at CNSlab, advised by Professor Kilian. I received my PhD from University of Oulu , Finland, where I was advised by Academy Professor Guoying Zhao. During my PhD study, I was lucky enough to have the opportunity to visit Harvard Medical School and CVL, ETH Zurich. Prior to that, I received the B.E. degree from UESTC, China, and Master degree from Xiamen University, China. My research interests include Machine Learning, Geometric neural networks, Medical image analysis with special emphasis on Neuroscience.
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Amalia Perna
Postdoctoral Scholar, Pathology
BioDr. Perna received her education at the University of Urbino (BSc in Biological Science) and at the University of Trieste (MSc in Functional Genomics).
She obtained her Ph.D. in Neuroscience/Medical Sciences in 2021, from the University of Fribourg (Switzerland) in collaboration with the Swiss Integrative Center for Human Health (SICHH). During her doctoral studies, she investigated the molecular players involved in the neurodegenerative process, with special attention to Notch signaling modulation in the neuronal demise after kainic acid (KA)-induced excitotoxicity
With funding from the Swiss National Science Foundation (SNSF), Dr. Perna joined Prof. Thomas Montine's lab at Stanford University and extended her doctoral research work to single-cell technologies such as single-nucleus RNA-seq. In February 2022 she was appointed as a postdoctoral fellow in Montine Lab.
Dr. Perna’s research aims to elucidate the modulation of signaling pathways in the different cell types of the brain after the perturbation of its homeostasis. She is also interested in understanding the molecular mechanisms underlying neuronal regeneration/recovery after damage and in neurodegenerative diseases. -
Calvin Perumalla
Postdoctoral Scholar, General Surgery
BioDr. Calvin Perumalla joined the Stanford's TECI Center team as a postdoctoral researcher in February 2021. He received his Masters and Doctorate degrees in Electrical Engineering from the University of South Florida. His graduate research work involved building a novel cardiac rhythm monitor with enhanced diagnostic capabilities. He was also involved in building machine learning models to detect cardiac abnormalities. Dr. Perumalla later spent two years working at a late-stage startup where he was involved in building AI models to detect anomalies in computer networks. He is passionate about using AI to improve the quality of human life and his current research interests include Computer Vision, Image Segmentation and Surgical Data Science.
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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.
