School of Medicine
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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.
David Alex Sarno
Adjunct Lecturer, Pediatrics - Cardiology
BioDavid Sarno is a lecturer in the Department of Pediatrics at the school of medicine, specializing in virtual reality-based education. David founded Lighthaus Inc., a VR education company in 2013 while a John S. Knight journalism fellow at Stanford. Before that, David was a technology journalist at the Los Angeles Times for seven years. He holds an MFA in Creative Writing from the University of Iowa and a B.A. in Computer Science from Yale University.
Professor of Pediatrics (Cardiology)
Current Research and Scholarly InterestsAssessment of vascular health in children by non-invasive modalities
Exercise interventions in children with congenital and acquired heart disease
Use of telehealth to deliver interventions to children with congenital and acquired heart disease
Quality Improvement in Pediatric Echocardiography
Echocardiography and outcomes in congenital heart disease
Andrew Young Shin
Clinical Professor, Pediatrics - Cardiology
Current Research and Scholarly InterestsSURF PROGRAM
The SURF program is an innovative collaboration between LPCH, Stanford University Hospital and the Stanford School of Engineering. The program has focused on improving quality and safety of patient care, improving hospital operations and promoting clinical effectiveness utilizing contemporary technologies such as machine learning, mathematical optimization, simulation and a variety of statistical, probabilistic and computational tools. The program has 2 independent funding mechanism to primarily improve patient care/hospital operations and improve academics for faculty within the department of Pediatrics at LPCH.
The Clinical Effectiveness (CE) Program is a funded program that aims to understand and improve unnecessary variation in healthcare delivery in order to optimize quality of care and reduce wasteful expenditures. The CE program has developed innovative programs such as Target Based Care, an award-winning intervention to reduce variation in hospital length of stay and currently a multi-center trial involving more than 20 hospitals in North America. In 2016, the CE program included the first CE fellowship program in a pediatric training program with 3 cycles of graduates. The CE program is supported by LPCH and a philanthropic gift by Susan Choe and Thomas Tobiason.