Stanford University


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  • Zahra Sadat-Hossieny, MD

    Zahra Sadat-Hossieny, MD

    Clinical Assistant Professor, Adult Neurology

    BioZahra Sadat-Hossieny, MD, is a board-certified neurologist who completed her fellowship in clinical epilepsy at Stanford University Hospitals and Clinics. She finished her residency in neurology at the Ohio State University Wexner Medical Center. She obtained her medical degree and a certificate in global health from the George Washington University School of Medicine and Health Sciences.

    She has extensive experience treating patients with epilepsy and currently provides care through the Comprehensive Epilepsy and Comprehensive Neurology Programs at Stanford Health Care. In addition to her clinical responsibilities, Dr. Sadat-Hossieny also teaches future generations of clinicians as an assistant professor at Stanford School of Medicine in the Department of Neurology, Epilepsy, and Comprehensive Neurology.

    Dr. Sadat-Hossieny has authored several peer-reviewed journal articles and book chapters. She has presented her research orally and through posters at various conferences. During her fellowship at Stanford University Hospitals and Clinics, she used advanced diagnostic techniques including video-EEG monitoring, computerized brainwave mapping, diagnostic imaging, neuropsychiatric testing, and functional mapping to accurately diagnose epilepsy and conditions imitating epilepsy. She also gained expertise in the most advanced forms of epilepsy treatment including neuromodulation, epilepsy surgery and medications specific to epilepsy. Her research focused on the cognitive effects of anti-seizure medications on patients with epilepsy and their children. She has also published on the importance of nutrient supplementation on cognition in patients taking anti-seizure medications. Her collaborations include projects that assess and improve patients’ understanding of their own seizure types.

  • Amin Sadeghi

    Amin Sadeghi

    Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine

    Current Research and Scholarly InterestsApplications of artificial intelligence in medicine

  • Sina Sadeghzadeh

    Sina Sadeghzadeh

    MD Student with Scholarly Concentration in Clinical Research, expected graduation Spring 2027

    BioSina was born in Tehran, Iran and raised in Zanjan, Iran. He came out to Massachusetts to attend Harvard University where he obtained his undergraduate degree cum laude in Neuroscience with a secondary in Economics. In college, Sina conducted wet-lab research under the supervision of Dr. Hugo Bellen, worked as a legal intern in Levy Firestone Muse LLP, and served as a research assistant for Drs. Francis Shen, Steven Levitsky, and Jennifer Hochschild. Sina moved to California (by bike!) to begin medical school at Stanford where he is currently pursuing clinical and basic science research opportunities in the neuroscience domain. Outside of medical school, Sina is an avid cyclist, enjoys going on walks, doing yoga, and learning to salsa dance.

  • Rita Sader

    Rita Sader

    Director, Finance and Operations, Woods Institute

    Current Role at StanfordAs Director of Finance and Operations for the Woods Institute for the Environment, Rita Sader manages and oversees day-to-day operations for the institute, its centers, programs, and initiatives, including all finance functions, research administration, human resources, faculty affairs, administration, development, and facilities.

  • Rabeya Tus Sadia

    Rabeya Tus Sadia

    Postdoctoral Scholar, Radiology

    BioI am currently working on multimodal and multitask foundation models for cancer detection and surgical video analysis. My research focuses on medical image and video segmentation, MRI and ultrasound analysis, foundation models, reinforcement learning, and AI agents. My broader research spans generative modeling, causal machine learning, multimodal learning, large language models, state-space models, spatial and single-cell omics, structured data analysis, and trustworthy artificial intelligence. My goal is to develop clinically meaningful, interpretable, fair, and reliable AI methods for real-world biomedical and healthcare applications.