School of Medicine
Showing 31-40 of 44 Results
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Mark Musen
Stanford Medicine Professor of Computational Medicine, Professor of Medicine (Computational Medicine) and of Biomedical Data Science
Current Research and Scholarly InterestsModern science requires that experimental data—and descriptions of the methods used to generate and analyze the data—are available online. Our laboratory studies methods for creating comprehensive, machine-actionable descriptions both of data and of experiments that can be processed by other scientists and by computers. We are also working to "clean up" legacy data and metadata to improve adherence to standards and to facilitate open science broadly.
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Behzad Naderalvojoud
Biostatistician 2, Computational Medicine
BioBehzad Naderalvojoud is a biomedical informatics scientist at the 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. -
Martin O'Connor
Software Dvlpr 3, Computational Medicine
Current Role at StanfordResearch software developer at Stanford Center for Biomedical Informatics Research (BMIR)
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Natalie Pageler
Clinical Professor, Clinical Informatics
Clinical Professor, Computational MedicineCurrent Research and Scholarly InterestsIn my administrative role, I oversee the development and maintenance of clinical decision support tools within the electronic medical record. These clinical decision support tools are designed to enhance patient safety, efficiency, and quality of care. My research focuses on rigorously evaluating--1) how these tools affect clinician knowledge, attitudes, and behaviors; and 2) how these tools affect clinical outcomes and efficiency of health care delivery.
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Shriti Raj
Assistant Professor of Medicine (Computational Medicine)
BioShriti is an Assistant Research Professor in Stanford’s Center for Biomedical Informatics Research and a Junior Faculty Fellow at the Institute for Human-Centered AI. Her research focuses on developing and evaluating human-centered decision-support techniques to help patients and clinicians make health data and algorithms actionable. She is particularly interested in creating tools to support the use of wearable health data and studying their impact on chronic condition management.
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Paul Schmiedmayer
Instructor, Computational Medicine
Current Research and Scholarly InterestsDr. Schmiedmayer develops open-source agentic AI systems and multimodal foundation models that transform electronic health records, wearable sensors, and patient-generated data into personalized healthcare. His research builds the next generation of interoperable computational medicine infrastructure, enabling scalable, privacy-preserving, patient-facing AI for cardiometabolic disease prevention and the translation of AI into routine clinical practice.
