Stanford University
Showing 1-50 of 128 Results
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Ana E. Pacheco-Navarro
Clinical Scholar, Medicine - Pulmonary, Allergy & Critical Care Medicine
Postdoctoral Scholar, Pulmonary and Critical Care MedicineBioDr. Pacheco-Navarro is a pulmonary and critical care physician with a research interest in long term outcomes after critical illness and the intersection of critical illness and autoimmunity.
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Punnag Padhy
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsCurrently, I am working on an on-chip platform to simultaneously trap and manipulate micron scale beads and droplets with an intention to implement chemical reactions on a chip at ultrasmall volumes.
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Yellappa Palagani
Postdoctoral Scholar, Cardiothoracic Surgery
BioYellappa Palagani is currently a Postdoctoral Fellow in Cardiothoracic Surgery at Stanford University. In Dr Ma's lab, he is developing an MRI-compatible mock circulatory loop and cardiac phantoms to simulate common congenital heart defects. Prior to joining Stanford, he was a Postdoctoral Associate in Cardiac Surgery at Yale University from April 2021 to March 2023, where he worked on left ventricular assist devices and smart inductive stents. In August 2020, he received his Ph.D. in Electronics Engineering from Kyungpook National University, South Korea. During his Ph.D., he worked on wirelessly powered cardiac pacemakers and wearable cardiac arrhythmia indicators.
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Feng Pan
Postdoctoral Scholar, Materials Science and Engineering
BioFeng Pan is a postdoctoral scholar with Prof. Jennifer A. Dionne in the Department of Materials Science and Engineering at Stanford. He received his Ph.D. in Physical Chemistry at the University of Wisconsin Madison, advised by Prof. Randall H. Goldsmith, and M.S. in Physical Chemistry at Texas A&M University, advised by Prof. Simon W. North, and B.S. in Chemistry at Jilin University (China). His research expertise spans several aspects, including plasmonics, nanophotonics, and single-particle microresonator microscopy and spectroscopy, planar laser-induced fluorescence for molecular tagging velocimetry and thermometry in gaseous flows.
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Mahesh Pandit
Postdoctoral Scholar, Immunology and Rheumatology
BioI have completed my PhD in Immunology from Yeungnam University, South Korea. I studied adaptive immune cells especially focusing T cells and its relation to autoimmunity and tumor. I worked on different conditional knockout mice to investigate the cellular mechanisms. Similarly, I worked on disease induced mice to study its preventive and therapeutic approaches. Currently, I am working on Translational immunology as a Postdoctoral Researcher at Stanford University department of Immunology and Rheumatology. I focus on Epstein-Barr Virus, B cells and its relation with various autoimmune diseases.
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Jaspreet Pannu
Postdoctoral Scholar, General Internal Medicine
BioJassi Pannu, MD is a Physician and Fellow within Stanford University's School of Medicine.
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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: Pancreatic islet transplantation, Mesenchymal stem cell transplantation, Transplant tolerance, Biomaterials for drug and cell delivery
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Aakash Patil
Postdoctoral Scholar, Mechanical Engineering
BioDr. Aakash Patil is a postdoctoral researcher at Stanford University working on deep Learning-assisted predictive modeling for high-dimensional spatio-temporal problems, particularly for turbulence in fluids. At the Center for Turbulence Research he works with Prof. Beverley McKeon as a part of a grant funded by the US Office of Naval Research. His Ph.D. in Computational Mathematics from Mines ParisTech - Paris Sciences et Lettres University led to the development of innovative deep learning methods for nonlinear dynamical systems and the creation of high-performance CPU-GPU frameworks for deep learning-assisted simulations. He was a co-founder of GreenPanda in 2014, a webtech startup catering SMBs, and exited in 2019 after 5 years of successful inclusion of SMBs in India's digital ecosystem.
His expertise includes building deep learning foundation models for high-dimensional spatio-temporal problems, scientific computing, machine learning operations, and quantitative analysis for complex scientific and engineering challenges. Interested in consultations or collaborations? Connect on LinkedIn at https://linkedin.com/in/aakash-patil