School of Medicine
Showing 1-50 of 161 Results
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Amin Sadeghi
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsApplications of artificial intelligence in medicine
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Yann Sakref
Postdoctoral Scholar, General Surgery
BioYann Sakref is a Postdoctoral Scholar in General Surgery at Stanford University, working within the Knowlton Lab. With a passion for interdisciplinary sciences and advancing medical biotechnology and patient care, Yann is developing clinical and AI solutions as part of an ARPA-H-funded project under Dr. Knowlton's supervision. His work focuses on creating computer vision models for surgical assistance and contributing to the collaborative development of innovative tools by working closely with clinical, engineering, and AI teams. He also works closely with collaborators at the S-SPIRE Center.
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Giovanni Marco Saladino
Postdoctoral Scholar, Radiology
BioI am a Postdoctoral Scholar in the Department of Radiology at Stanford University. I graduated in Engineering Physics with a BSc at Politecnico di Milano (Italy) and an MSc at KTH Royal Institute of Technology (Sweden). In 2024, I obtained my PhD in Biological and Biomedical Physics from the Department of Applied Physics at KTH Royal Institute of Technology.
My research interests lie at the intersection of molecular imaging, nanomedicine, and nanomaterials. Specifically, I focus on developing novel contrast agents and exploring advanced imaging techniques. During my PhD studies, I designed hybrid multimodal contrast agents for complementary imaging using X-ray fluorescence computed tomography, magnetic resonance imaging, and optical fluorescence imaging. I am currently involved in investigating theranostic applications of nanomaterials, which hold great promise for personalized medicine and targeted therapies. -
Matteo Santoro Pharm.D., Ph.D.
Postdoctoral Scholar, Pathology
BioDr. Santoro joined Shamloo’s lab in March 2021 focusing his research on Parkinson’s disease, neuronal vulnerability, and identification of therapeutic markers in relation to α-synucleinopathies. Prior to his arrival at Stanford, he held a position as a clinical monitor at Syneos Health where he gained key knowledge needed to translate lab-based findings into clinical and commercial applications. Previously, Dr. Santoro held a postdoctoral position at the University of Aberdeen (Scotland, UK) working on amyloid-beta extracts from Alzheimer’s disease patients. During his postdoctoral research, Dr. Santoro designed and optimized a cost-effective and rapid assay for the measurement of toxic amyloid-beta species in human biofluids. In 2017, he obtained his Ph.D. (4-year program) at the University of Aberdeen on Parkinson’s disease (PD), immunology, and behavior. The major findings Ph.D. findings were the following: 1) the characterization of a small protein called HMGB1 as an inflammatory mediator in PD; 2) the motor and non-motor behavioral characterization of three neurotoxin based mouse models of PD, 3) the characterization of the innate immune response in PD through the toll-like receptor signaling pathways 4) evaluation of the effects of chronic systemic inflammation on both resident and infiltrating immune cells in the CNS. In 2012 Dr. Santoro attained his Pharm.D. in chemistry and pharmaceutical technology (5-year program) at the University of Calabria (Italy) during which he undertook an internship at the King’s College London (SGDP Centre) and worked for over a year on a rat model of stroke.
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Narayan Schutz
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsI work on using digital health technologies to detect and monitor aging relevant health indicators and outcomes using cutting-edge machine and deep learning approaches, with the goal to make our healthcare system more personalised and proactive.
Current research topics include remote gait and mobility assessments, learning health representations from large-scale smartphone data, and using novel ambient intelligence approaches to foster independent living in older adults. -
Mojtaba Sedigh Fazli
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Mojtaba Fazli is a leading scientist specializing in AI/ML, computer vision, and biomedical research. He is currently a Postdoctoral Research fellow Scientist at Stanford University and a Senior Research Fellow at the Harvard Ophthalmology Artificial Intelligence Lab, Harvard University, where he previously completed a postdoctoral fellowship.
Dr. Fazli's research bridges cutting-edge artificial intelligence with groundbreaking applications in multi-scale biomedical imaging, disease modeling, and drug discovery. His expertise encompasses advanced areas of AI/ML, including computer vision for 2D/3D medical image analysis, bioinformatics, and object tracking in both 2D and 3D environments. He has played a key role in developing state-of-the-art algorithms to enhance diagnostic precision and therapeutic outcomes within the biotechnology and healthcare sectors.
With a strong foundation in both academia and industry, Dr. Fazli previously served as a Senior Open Innovation Scholar at the Novartis Institute for Biomedical Research. There, he applied his expertise in strategic planning, programming, and simulation to tackle complex biomedical challenges.
Dr. Fazli holds a Ph.D. in Computer Science, with a minor in Mathematics, from the United States, as well as a Doctorate in Business Administration from France. His academic journey also includes master’s degrees in Economics and Management, as well as Artificial Intelligence and Robotics. His interdisciplinary approach blends AI-driven innovation with practical, impactful solutions in healthcare.
At Stanford, Dr. Fazli leads research initiatives focused on integrating multimodal data in rheumatology, advancing ultrasound imaging research in Rheumatoid Arthritis, and developing AI methodologies for clinical applications. His current work also involves leveraging Generative AI and Large Language Models (LLMs) to drive innovation in medical data analysis and clinical decision support.
