School of Medicine
Showing 1,461-1,480 of 2,424 Results
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Mark Musen
Stanford Medicine Professor of Biomedical Informatics Research, 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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Jonathan N. Myers
Clinical Professor (Affiliated), Medicine - Med/Cardiovascular Medicine
BioDr. Myers is a Health Research Scientist at the Palo Alto VA Health Care System; a Clinical Professor at Stanford University (Affiliated), and a Senior Research Career Scientist Award recipient through the VA Rehabilitation Research and Development Program. His research has focused on primary and secondary prevention, and the clinical applications of exercise testing and rehabilitation in patients with cardiovascular disease and other chronic conditions. He has a lengthy history of studying the epidemiology of cardiopulmonary exercise test responses, physical activity patterns, and other lifestyle factors and their relation to health outcomes. He manages the Veterans Exercise Testing Study (VETS), an ongoing, prospective evaluation of Veteran subjects referred for exercise testing for clinical reasons, designed to address exercise test, clinical, and lifestyle factors and their association with health outcomes.
He earned his bachelor’s degree from the University of California, Santa Barbara, his master's degree from San Diego State University, and his doctorate from the University of Southern California. He has been a board member for many organizations including the American Heart Association (AHA), the American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR), and the American College of Sports Medicine (ACSM), and serves on the editorial board for 9 journals. He is a recipient of the Michael Pollock Established Investigator Award through the AACVPR, a recipient of the Steven N Blair Award for excellence in physical activity research from the AHA Council on Epidemiology and Prevention and is the 2022 recipient of the American College of Sports Medicine Citation Award. He is a fellow of the AACVPR, ACSM, American College of Cardiology, and the AHA, and has authored and co-authored guidelines on exercise testing and rehabilitation for each of these organizations, including the 2021 editions of the ACSM and AACVPR guidelines. -
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. -
Michitaka Nakano
Basic Life Research Scientist, Medicine - Med/Hematology
BioI am a MD/PhD postdoctoral fellow and medical oncologist with a long-standing interest in translational cancer research. My long-term goal is to be a lab-based physician-scientist and independent academic researcher, translating basic cancer research, and mentoring next-generation scientists. My thesis work in Japan focused on cancer stem cell equilibrium by uniquely applying organoid culture as a method to elucidate cancer stem cell dynamics, which was awarded in Japanese Cancer Association. Along with the development of the field represented by success in T cell checkpoint, my interest gradually shifted to immune oncology while I examined numerous numbers of cancer patients as a medical oncology fellow. My postdoctoral fellowship at Calvin Kuo Lab in Stanford (2019-present) focuses on tumor immune microenvironment. Kuo lab developed a unique 3D air-liquid interface (ALI) organoid system that cultures tumors while preserving their endogenous infiltrating immune cells (T,B ,NK, Myeloid cells). My postdoctoral work will prove the significance of organoids as a translational tool to discover tumor-immune interaction by novel checkpoint inhibitors for immune cells, which can be broadly applicable to basic cancer biology, precision medicine, therapeutics validation and biomarker discovery.
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Andrew Napier
Masters Student in Clinical Informatics Management, admitted Summer 2025
BioAndrew Napier, MD, FAAEM, is a board-certified emergency physician, Army veteran, and founder working at the boundary of bedside care, medical devices, and clinical AI. He built and FDA-cleared a single-use video laryngoscope with on-blade lens clearing, co-founded an ambient documentation platform used across more than 100 care sites, and now works on real-time procedural guidance for intubation and bronchoscopy.
At Stanford MCiM, his interests include human-in-the-loop guidance for high-risk procedures, ambient clinical assistants that reduce cognitive load, and pragmatic trials that measure speed, accuracy, first-pass success, and downstream outcomes. His focus is whether clinical AI changes care at the bedside when the patient is sick and the clinician has seconds to act.
Previously, he served as Vice Chair and Assistant Medical Director of a 70,000-visit emergency department. He holds issued and pending patents, published on lens-clearing laryngoscopy in AJEM, and served as a combat medic in Afghanistan before practicing emergency medicine at high-acuity trauma centers. -
Sanjiv Narayan
Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsDr. Narayan directs the Computational Arrhythmia Research Laboratory, whose goal is to define the mechanisms underlying complex human heart rhythm disorders, to develop bioengineering-focused solutions to improve therapy that will be tested in clinical trials. The laboratory has been funded continuously since 2001 by the National Institutes of Health, AHA and ACC, and interlinks a disease-focused group of clinicians, computational physicists, bioengineers and trialists.
