Stanford University
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Suzanne Michelle Sachsman, MD
Basic Life Res Scientist, Dermatology
BioSuzanne Sachsman, M.D., is Clinical Assistant Professor of Dermatology. Dr. Sachsman received her Bachelor of Science degree in engineering from Brown University in 2000. She received her medical degree from the Keck School of Medicine of the University of Southern California in 2008 where she spent one year doing dedicated basic science research studying cancer immunotherapy. She trained in radiation oncology, completing residency at USC and fellowship at the University of Florida Health Proton Therapy Institute, prior to completing her dermatology residency at the University of California, Los Angeles in 2018. Dr. Sachsman is a board certified dermatologist and Fellow of the American Academy of Dermatology. Her clinical interests are general dermatology and complex medical dermatology including acne, psoriasis, atopic dermatitis, high risk non-melanoma skin cancer, pigmented lesions, supportive dermato-oncology, and cutaneous lymphoma.
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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
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsApplications of artificial intelligence in medicine
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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.
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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.
