School of Medicine
Showing 1-20 of 156 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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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 Professor 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 and 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 Professor 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. -
Shengtian Sang
Postdoctoral Scholar, Radiology
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.
