School of Medicine
Showing 1-17 of 17 Results
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Deeksha Suresh Bidare
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioDr. Deeksha S. Bidare is a general surgery resident physician at Stanford Healthcare, and she has completed three years of clinical training. She is currently in the Professional Development years of her residency training, during which she will complete an ACGME fellowship in Clinical Informatics within the Stanford Department of Pediatrics. Her clinical focus within the Department of Surgery is on Acute Care Surgery, Trauma, and Surgical Critical Care in which she intends to pursue fellowship training after residency. Her research interests within the Clinical Informatics realm include the utilization of EHR and LLM tools to facilitate patient data collection and analysis both in and outside of the operating room.
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Zachary Butzin-Dozier
Assistant Professor of Pediatrics (Clinical Informatics) and of Medicine (Computational Medicine)
BioZach Butzin-Dozier is an Assistant Professor in the Department of Pediatrics, Division of Clinical Informatics, with a joint appointment in the Department of Medicine, Division of Computational Medicine. His research applies machine learning and artificial intelligence for causal inference via electronic health record data. He draws from large-scale databases, such as Epic Cosmos, PEDSnet, and the National Clinical Cohort Collaborative, to answer pressing questions in pediatric and infectious disease medicine. His research evaluates vaccine effectiveness, drug repurposing, and the long-term sequelae of viral infection, including Long COVID. He aims to bridge rigorous biostatistical methodology with clinically meaningful research questions. He received his PhD in Epidemiology and MPH from UC Berkeley, and he is an NIAID K01 recipient.
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Danielle Luz, MD
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioShe is passionate about utilizing health technology to improve the diagnostic odyssey for patients with rare and complex diseases. Her core focus areas include EHR workflow optimization, empowering providers on how to safely utilize AI to generate patient materials to bridge gaps in health literacy, and establishing precision guardrails for the ethical use of AI in genomic medicine.
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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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Naveed Rabbani
Adjunct Clinical Assistant Professor, Clinical Informatics
BioDr. Naveed Rabbani is a physician executive in health information technology and medical AI researcher. He currently serves as Associate Chief Medical Information Officer at Sutter Health, a large nonprofit health system in California. In this role, he leads a portfolio of enterprise-wide clinical IT programs including ambient documentation and generative AI implementation. He also holds a research appointment at Harvard Medical School in the Department of Biomedical Informatics. A nationally recognized expert in health information technology, Dr. Rabbani is an Executive Committee Member for the American Academy of Pediatrics' Council on Clinical Information Technology and the Epic EHR Pediatric Primary Care Steering Board. As adjunct faculty at Stanford, he teaches in the Clinical Informatics Fellowship in the School of Medicine and conducts research in the Division of Clinical Informatics. Dr. Rabbani holds a BS in Electrical Engineering from Stanford University and an MD from Harvard Medical School.
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Austin Schoeffler
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioAustin Schoeffler, M.D., is an emergency medicine physician and clinical informatics fellow at Stanford University. Dr. Schoeffler earned his M.D. from The Ohio State University College of Medicine and completed his Emergency Medicine Residency at University Hospitals/Case Western Reserve University in Cleveland. He is currently pursuing a two-year fellowship in Clinical Informatics at Stanford, focusing on the integration of machine learning and digital health solutions within emergency care.
Dr. Schoeffler has a strong background in both clinical operations and digital innovation. He has assisted on projects leveraging AI-driven facial recognition software for depression screening in the emergency department, and is currently critically evaluating the impact of ambient AI scribes on clinical care and helping to create the first AI benchmark for emergency medicine. His operational experience includes governance and workflow optimization at his previous institution, where he contributed to initiatives enhancing patient care delivery and hospital efficiency.
His scholarly interests center on responsible AI integration, innovation, building the future of digital health technology, and expanding access to populations not traditionally reached by existing clinical infrastructure. He is committed to fostering industry-academic partnerships, rigorously evaluating emerging AI tools, and benchmarking AI products for deployment in acute care settings. Clinically, he is passionate about evidence-based care, digital health, and the development of novel care delivery models in emergency medicine. -
Bobak Seddighzadeh
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioOver the past 13 years, Dr. Seddighzadeh has advanced biomedical innovation at Harvard, Stanford, and the Mayo Clinic, integrating emerging technologies with clinical medicine to improve patient care.
Dr. Seddighzadeh’s expertise spans genomic medicine, clinical informatics, and clinical AI. He has built enterprise-level clinical decision support systems that improve care at scale, and as part of the Stanford GUIDE-AI group and the Nigam Shah Lab, he focuses on developing AI-enabled clinical platforms for Stanford’s hospitals and clinics. His work in clinical AI includes implementation, evaluation, and safety guardrails. He also contributes to precision medicine efforts that use multi-omic data to identify disease subtypes and enable more individualized care. As part of Chan Zuckerberg Biohub, he helped build one of the world’s first complete human cell atlases.
In clinical practice, Dr. Seddighzadeh is committed to delivering outstanding internal medicine care to hospitalized patients. He approaches medicine as a craft, continually sharpening diagnostic reasoning and therapeutic decision-making in service of the best possible outcomes. He also values prevention and partners with patients to build sustainable habits that support long-term health and health span.
At New York University, Dr. Seddighzadeh received the Degree Representative Award, an honor conferred by the faculty recognizing the single graduating student with the highest overall academic achievement. He later earned a full-tuition scholarship from the founding dean to attend the University of Nevada, where he graduated with top honors in medicine. He went on to complete his internal medicine residency at Mayo Clinic where he was selected for the Resident Leadership Academy, a specialized program for residents identified across the Mayo Clinic enterprise as future leaders. There he also developed and launched the AI and Medicine Residency Track. He is currently a Clinical Informatics Fellow and internal medicine hospitalist at Stanford University. -
Dennis Wall
Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsSystems biology for design of clinical solutions that detect and treat disease
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Ellen Wang
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor, Clinical InformaticsBioEllen Wang, MD is a Clinical Associate Professor of Pediatric Anesthesiology and Medical Director of Clinical Informatics for Perioperative Services at Lucile Packard Children’s Hospital Stanford. She is board-certified in Pediatric Anesthesiology and Clinical Informatics, with particular emphasis on EHR enhancement and optimization projects that support surgical, nursing, and pediatric and obstetric anesthesia workflows. She is also Chief of Operations of the Stanford Chariot Program, combining her interest in clinical care, process improvement, data analytics and research with virtual/augmented reality technologies to advance and evolve standards in patient care.
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James Xie
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Associate Professor, Clinical InformaticsBioDr. James Xie is a board certified pediatrician, pediatric anesthesiologist, and clinical informaticist at Stanford University School of Medicine. His goal is to improve patient care and promote health equity with health information technologies. Currently he serves as a clinical informaticist and Epic physician builder at Stanford Medicine Children's Health. He holds additional appointments in the Division of Obstetric Anesthesiology and Maternal Health and Division of Clinical Informatics.
Dr. Xie studied computer science and medicine at Stanford University, followed by a combined residency in general pediatrics at Boston Children's Hospital and Boston Medical Center and anesthesiology at Brigham and Women's Hospital. After residency, he completed a fellowship in pediatric anesthesiology at Stanford Children's Health where he subsequently joined the faculty. -
Aydin Zahedivash
Adjunct Clinical Assistant Professor, Clinical Informatics
BioAydin is a physician, educator, and engineer whose interests lie at the intersection of technology, health equity, and children’s health. Aydin completed his undergraduate degree in Biomedical Engineering at the University of Texas at Austin and went on to complete an MD and MBA at the University of Texas at Austin Dell Medical School and McCombs School of Business. He has over 10 years of experience in the medical technology space, having contributed as a researcher, mentor, inventor, and consultant in both the academic and private industry settings. He is a project coach and part of the teaching team within the Biodesign Digital Health Group and is leading a study exploring the role of wearable devices for arrhythmia event monitors in children. He is currently a clinical informatics fellow and is passionate about designing digital solutions to integrate and distribute access to care.
