Arturo Lopez Pineda is a health data scientist in the Bustamante Lab at Stanford University. He is interested in the intersection between Artificial Intelligence and Medicine. Currently, he is working on the extraction of information from electronic medical records, its processing with natural language algorithms, and its use for case detection with machine learning modeling. He is interested in the development of affordable technologies to improve healthcare in Latin America.
Arturo is a member of Mexico’s National System of Researchers (SNI) and a Fulbright Science and Technology alumnus. He holds a PhD and MS in Biomedical Informatics from the University of Pittsburgh School of Medicine, and a MS in Intelligent Systems and BS in Computer Science, both from Tecnologico de Monterrey (ITESM).
Postdoctoral Research Fellow
Department of Biomedical Data Science
Postdoc (2016-current, Genetics/Biomedical Data Science) Stanford University, USA
PhD (2015, Biomedical Informatics) University of Pittsburgh, USA
MS (2012, Biomedical Informatics) University of Pittsburgh, USA
MS (2008, Intelligent Systems) Tecnológico de Monterrey, Mexico
BS (2006, Computer Science) Tecnológico de Monterrey, Mexico
A study of the transferability of influenza case detection systems between two large healthcare systems (2017)
On Predicting lung cancer subtypes using ‘omic’ data from tumor and tumor-adjacent histologically-normal tissue (2016)