School of Medicine
Showing 1-20 of 164 Results
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Lida Safarnejad
Postdoctoral Scholar, Vascular Surgery
BioDr. Lida Safarnejad is a postdoctoral research fellow at Stanford University School of Medicine. She currently works in Ross lab, directed by Dr. Elsie Gyang Ross. Her research focuses on applying Computer Vision and NLP techniques to build models that detect Peripheral Artery Disease PAD. Dr. Safarnejad obtained her Ph.D. in Software and Information Systems from the University of North Carolina at Charlotte. Her doctoral dissertation particularly focused on devising novel computational methods to effectively employ social media in the public health, especially for healthcare crisis management.
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Theadora Sakata
Postdoctoral Scholar, General Internal Medicine
BioStanford-Intermountain Fellow in Population Health and Health Services Research
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Cintia Kimura
Postdoctoral Scholar, General Surgery
BioGraduated from Medical School from Universidade de São Paulo (2013). Completed training in General Surgery (2016), Colorectal Surgery (2018), and doctorate in Gastroenterology at Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (2021).
Currently researching how the gut microbiome can affect patients' risk of developing complications after colorectal surgery, and whether it can be modulated by short-term dietary interventions.
Previous work focused on prevention and early treatment of anal and rectal cancer, and on the interaction between HPV infection and anal neoplasia. -
Melissa Salm
Postdoctoral Scholar, Infectious Diseases
Current Research and Scholarly InterestsGlobal health, medical anthropology, and biosecurity with a focus on the One Health approach to infectious disease epidemiology, viral discovery and risk characterization of pandemic potential pathogens, global health governance, and transdisciplinary approaches to public health innovation
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Matteo Salvador
Postdoctoral Scholar, Cardiology
BioMatteo Salvador is a Postdoctoral Researcher in the Cardiovascular Biomechanics Computation Lab led by Prof. Alison Marsden.
His main research topics are related to cardiac modeling, model-order reduction and uncertainty quantification.
Matteo Salvador received his Bachelor of Science in Mathematical Engineering ans his Master of Science in Computational Science and Engineering from Politecnico di Milano.
He completed his PhD in Mathematical Models and Methods for Engineering at Politecnico di Milano under the supervision of Prof. Alfio Quarteroni. He worked in the framework of the iHEART project, whose aim is to create a fully integrated human heart for the accurate and efficient numerical simulation of the cardiac function. Specifically, he developed comprehensive mathematical models blended with novel numerical methods and Scientific Machine Learning for cardiac electromechanics. -
Pablo Amador Sanchez
Postdoctoral Medical Fellow, Cardiovascular Medicine
Fellow in MedicineBioDr. Pablo Sanchez is post doctoral medical fellow at Stanford University. He earned a degree in physiology at The University of Arizona and received his M.D. from The University of Arizona College of Medicine, in Tucson. He completed Internal Medicine training at Brigham & Women's Hospital/Harvard Medical School, and served as Chief Resident from 2018-2019. During residency, his research focused on clinical outcomes of the complex patient composition in the modern Cardiac Intensive Care Unit. He completed Cardiovascular Medicine fellowship at Stanford and served as Chief Fellow from 2021-2022. He is interested in cardio-pulmonary interactions in Acute Respiratory Distress Syndrome (ARDS). Under the tutelage of Dr. Angela Rogers (Pulmonary Medicine Division) and Dr. Euan Ashley (Cardiovascular Medicine Division), he plans to integrate immune-metabolic biomarker and echocardiographic profiling to identify cardiac dysfunction in ARDS. He receives funding from the National Institutes of Health through the Ruth L. Kirschstein National Research Service Award (NRSA, F32) and Loan Repayment Award. He is pursuing additional fellowship training in critical care medicine.
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Shengtian Sang
Postdoctoral Scholar, Radiation Physics
BioShengtian Sang is currently a post-doctoral scholar at the Laboratory of Artificial Intelligence in Medicine and Biomedical Physics in the department of Radiation Oncology at Stanford University. He received his Ph.D. degree from the College of Computer Science and Technology, Dalian University of Technology, Dalian, China. His current research interests are high-dimensional data mining, medical image computing, and machine learning. In his Ph.D. study, he worked on the biomedical literature-based discovery and data mining.
