School of Medicine
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Postdoctoral Scholar, Biomedical Informatics
BioBehzad Naderalvojoud is a Postdoctoral Research Fellow at Stanford Center for Biomedical Informatics Research. He received his Ph.D. degree in Computer Science at Hacettepe University, Turkey, in 2020. He is immersed in the fields of machine learning, deep learning, natural language understanding, and Big data analytics and works on health knowledge discovery platforms that transfer Big Health data from volume-based to value-based by generating relational knowledge leading to innovative treatments, predictive therapeutic outcomes, and early diagnosis. He was the leader of many industrial AI projects in the fields of healthcare intelligence and information management in the Eureka cluster programs.
Dr. Naderalvojoud has published several papers in the field of natural language understanding by working on word sense disambiguation, sentiment analysis, neural word embeddings, and deep learning models through national and international projects.
He is currently working on the funded NLM grant project "Advancing Knowledge Discovery for Postoperative Pain Management" under the supervision of Dr. Tina Hernandez-Boussard. He develops descriptive, predictive, and analytical tools using OMOP CDM for postoperative pain research to facilitate timely generation of evidence across multiple populations and settings.
Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Medicine (Medical Informatics) and of Electrical EngineeringOn Partial Leave from 08/01/2021 To 04/23/2022
Current Research and Scholarly InterestsMy research seeks to advance the clinical and basic sciences in radiology, while improving our understanding of biology and the manifestations of disease, by pioneering methods in the information sciences that integrate imaging, clinical and molecular data. A current focus is on content-based radiological image retrieval and integration of imaging features with clinical and molecular data for diagnostic, prognostic, and therapy planning decision support.
Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
Ph.D. Minor, Management Science and Engineering
BioDr. Morteza Noshad received his Ph.D. in computer science from the University of Michigan in 2019 where he investigated information theoretic methods to machine learning and deep learning. He then joined Stanford as a postdoctoral research fellow and he is already a research scientist. His research interests include applying machine learning and deep learning methods to improve medical decision-making and health-care processes.