School of Medicine
Showing 1,001-1,050 of 1,636 Results
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Sejal Parekh
Postdoctoral Scholar, Biomedical Ethics
BioI'm a pediatrician interested in social justice and medical communication. After undergrad and medical school at Stanford, I went to UCSD for pediatrics residency. In San Diego, I volunteered in migrant clinics. After residency, I have worked in a rural hospital, urban FQHC clinic, suburban county hospital, and private practice. Now, I am back at Stanford as a Health Equity Media Fellow through the Center of Biomedical Ethics.
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Junyoung Park
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Jun Young graduated from the Department of Biostatistics at the School of Public Health, Seoul National University, Korea. His major field of study is biostatistics, with a specific focus on the application of machine learning and statistical analysis to medical imaging and genetic data. During his doctoral studies, he concentrated on two primary research areas. Firstly, he dedicated himself to the development of deep learning models for medical images, primarily centered on T1-MRI and cognitive function test images related to Alzheimer's Disease. Secondly, he engaged in extensive genome-wide association analyses of medical images associated with Alzheimer's Disease, using statistical algorithms to uncover novel insights into the genetic factors contributing to this complex condition. Currently, as a postdoctoral fellow at the Greicius Lab at Stanford, he aims to develop statistical methods to discover novel structural variants and model polygenetic risk scores using long-read sequencing data.
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Magdalini Paschali
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy research focuses on utilizing machine learning models to enhance the understanding, diagnosis, and treatment of clinical disorders. I am interested in multi-modal learning, combining imaging data like MRI and CT scans with non-imaging data such as electronic health records, creating more holistic and accurate diagnostic models. I am also interested in the robustness of deep neural networks under domain shifts, investigating how models perform when faced with changes in input data distributions.
Finally, I am interested in early biomarker identification using AI model interpretability, to enable the early detection and targeted treatment of chronic disorders. -
Shiva Pathak
Postdoctoral Scholar, Bone Marrow Transplantation
BioResearch interests: Type 1 Diabetes, Islet Transplantation, Bone Marrow Transplantation, Mesenchymal Stem Cells, Biomaterials.
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Suraj Pavagada
Postdoctoral Scholar, Radiology
BioSuraj Pavagada is a postdoctoral scholar at the Department of Radiology at Stanford University. His research focuses on exploiting magnetic levitation-based techniques for applications in point-of-care medical diagnostics.
Suraj received his PhD in Oncology from the University of Cambridge (24’), where he developed a new bioelectronic cell enrichment platform utilizing altered glycosylation patterns for the early detection of esophageal cancer. With a background in electrochemistry, surface functionalization, liquid biopsy, and molecular diagnostics, he is passionate about developing portable sensor technologies that can be translated into the clinic to facilitate timely diagnosis and monitoring. -
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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Javier Perez Garcia
Postdoctoral Scholar, Epidemiology
BioJavier Perez-Garcia is a postdoctoral scholar in the Department of Epidemiology and Population Health at Stanford University. His research has been focused on the integration of multi-omic data (e.g., genomics, epigenomics, transcriptomics, and microbiome) to identify potential biomarkers of treatment response for complex diseases like asthma. His research background includes experience both in molecular biology techniques (e.g., DNA extraction and sequencing libraries preparation) and bioinformatics (e.g., processing of raw data, association studies at genomic scale, or multi-omic integration through machine learning). He holds a Ph.D. in Health Sciences and a B.Sc. in Pharmacy from the University of La Laguna (Spain).
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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.
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Ruoxi Pi
Postdoctoral Scholar, Infectious Diseases
BioI received my BS in Biological Sciences in Zhejiang University in China, where I conducted research in polyphasic taxonomy in anaerobic bacteria. I received my PhD in Yale University, where I studied the early events of retrovirus infection in animal models. Now in the Blish lab, I am investigating NK cell responses during HIV-1 infection and trying to manipulate the NK cells to target latently infected cells.
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Malvika Pillai
Postdoctoral Scholar, Biomedical Informatics
BioMalvika Pillai is a postdoctoral research fellow in the VA Big Data Scientist Training Enhancement Program (BD-STEP), jointly in Stanford University in Medicine (Biomedical Informatics) in the Boussard Lab and VA Palo Alto. She received her BS in Quantitative Biology and PhD in Health Informatics from the University of North Carolina at Chapel Hill. Her current work focuses on the development, evaluation and implementation of machine learning algorithms for clinical decision support.
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Adam Pines
Postdoctoral Scholar, Psychiatry
BioAdam Pines, Ph.D., is a postdoctoral fellow in the Stanford PanLab for Precision Psychiatry and Translational Neuroscience with Director Leanne M. Williams, PhD. Adam completed his Ph.D. in Neuroscience at the University of Pennsylvania in Philadelphia. Adam’s work centers on hierarchical cortical development and its overlap with hierarchical cognition (i.e., bottom-up and top-down processing). In the PanLab, Adam is investigating the role of deficits in cortical function in cognitive psychopathology. His other research interests include developmental neuroscience, brain-environment interactions, and adaptive plasticity in the brain.
