School of Medicine
Showing 301-320 of 354 Results
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Imran Thobani
Postdoctoral Scholar, Ophthalmology
BioDr. Imran Thobani is a postdoctoral scholar in Ophthalmology co-advised by Dan Yamins and Andreas Tolias as part of the Enigma project. He is interested in building large-scale predictive models of the brain that he thinks will be useful for both scientific insights and downstream biomedical applications. He did his PhD at Stanford, where he was trained in both philosophy of neuroscience and computational neuroscience, applying this training to develop better methods for comparing artificial neural network models to the brain.
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Daniel SW Ting
Adjunct Clinical Associate Professor, Ophthalmology
BioAssoc Prof Daniel Ting is a senior consultant vitreo-retinal surgeon working in the Singapore National Eye Center (SNEC), an Associate Professor with Duke-NUS Medical School and an Adjunct Clinical Associate Professor and an Innovation Mentor at Stanford University. He is also the Director of Singapore Health Service (SingHealth) AI Office, SNEC Chief Data and Digital Officer, and the Head of AI and Digital Innovation in Singapore Eye Research Institute (SERI). In 2017, Dr Ting was US-ASEAN Fulbright Scholar visiting the Johns Hopkins University Fulbright Scholar to share his expertise in AI and big data in medicine. In addition to that, his research focus span across not only on the technical aspect on machine learning, deep learning, large language models, explainable AI, privacy preserving technologies, but also safe, responsible and ethical clinical AI applications. He is also involved in several international consensus reporting guidelines such as STARD-AI, QUADAS-AI and DECIDE-AI.
To date, Daniel has published >250 publications on peer reviewed, book chapters, educational articles and conference abstracts. Of those, 45 were published in high impact journals (IF >10) such as JAMA, NEJM, Lancet, Nature Medicine, Nature Biomedical Engineering, Lancet Digital Health, Progress in Retinal and Eye Research, Diabetes Care, Nature Digital Medicine, Ophthalmology and etc. As of Aug 2024 (Google Scholar), his current H index: 61, i-10 index: 172 with total citations of >20,000. Dr Ting has received a total of 100M research grants, in which 20 M as a principal investigator, and 80M as co-investigators on AI and digital innovation related projects in health.
Dr Ting serves in several leadership positions at the different AI and eye societies, including the American Academy of Ophthalmology AI and Retina Ophthalmology Technology Assessment committees, and he also chairs the AI and Digital Innovation Standing Committee for the Asia-Pacific Academy of Ophthalmology and Asia-Pacific Vitreo-Retinal Society. He also serves in numerous advisory and editorial boards in the top-tiered digital and medical journals, including Lancet Digital Health, Frontiers in Medicine, Frontiers in Digital Health and Asia-Pacific Journal of Ophthalmology; Section Editor in British Journal of Ophthalmology and Editorial Board Member in Ophthalmology, Ophthalmology Retina, Ophthalmology Science, British Journal of Ophthalmology, Asia-Pacific Journal of Ophthalmology and Retina.
For the accomplishment, Dr Ting was recognized by many top-tiered international AI and ophthalmology societies in winning many prestigious scientific awards, including Tatler Asia Gen T Award (2021), Singapore National Clinician Scientist Award (2021), Asia-Pacific Academy Ophthalmology (APAO) Nakajima Award (2021), Asia-Pacific Vitreo-Retinal Society (APVRS) Ian Constable Award (2021), MICCAI OMIA Prestigious Achievement Award (2020), ARVO Bert Glaser Award for Innovative Research in Retina (2020), USA Macula Society Evangelos Gragoudas Award (2019), APAO Young Ophthalmologist’s Award (2018) and APTOS Young Innovator Award (2017).
In 2022, 2023 and 2024, he is included in the World’s Top 100 Ophthalmology Power list by the Ophthalmologists; and the World’s Top 2% Scientists by the Stanford University world ranking. In 2021, 2022 and 2023, he was consistently ranked top 3 in the deep learning domain over the past decades (2010 – 2023) by the ExpertScape. In 2024, he won the Singapore National Academy of Medicine Young Scientist Award, and also ranked the Top 100 AI Thought Leaders Worldwide with Fei Fei Li, Yan LeCun, Jensen Huang and many others by H20.ai. -
Andreas Tolias
Professor of Ophthalmology
BioAndreas Tolias is a faculty member at Stanford University, where he co-leads the Enigma Project. His research lies at the interface of neuroscience and AI, combining large-scale neuroscience experiments with machine learning to uncover the principles of natural intelligence. By focusing on perceptual inference and decision-making, his lab integrates systems and computational neuroscience with AI to decipher the network-level principles of intelligence. Dr. Tolias’s work aims to reverse-engineer these principles to create AI systems that are smarter, more robust, trustworthy, and efficient, while providing a powerful platform to test brain algorithms under complex natural tasks. He earned his B.A. and M.A. in Natural Sciences from the University of Cambridge, a Ph.D. in Systems and Computational Neuroscience from MIT, and completed postdoctoral training in Neuroscience and Machine Learning at the Max Planck Institute for Biological Cybernetics in Tübingen.
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Janice Marie Turi
Web and Communications Specialist, Ophthalmology Operations
Current Role at StanfordSr. Manager, Web and Communications
Ophthalmology Operations -
Gabriel Velez, MD, PhD
Postdoctoral Scholar, Ophthalmology
Resident in OphthalmologyBioGabriel Velez is a PGY3 ophthalmology resident at Stanford. He received his bachelor’s degree in molecular biology from Winona State University in 2014. He completed his MD and PhD degrees at the University of Iowa. His PhD research focused on studying the structure of the calpain-5 (CAPN5) protein and its role in the development of Neovascular Inflammatory Vitreoretinopathy (NIV), a rare blinding eye disease. His research interests include translational proteomics, retinal disease, ocular oncology, structural biology, biophysical chemistry, drug design, and bioinformatics.
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Karen Wai, MD
Clinical Assistant Professor, Ophthalmology
BioDr. Wai is a board-certified ophthalmologist and fellowship-trained vitreoretinal surgeon with Stanford Health Care Byers Eye Institute. She is also a clinical assistant professor of ophthalmology in the Department of Ophthalmology at Stanford University School of Medicine.
Dr. Wai is a retina specialist who diagnoses and treats retinal and macular diseases, including age-related macular degeneration, diabetic retinopathy, retinal vascular occlusions (blockages), and retinal tears/detachments. The retina is a tissue layer in the back of the eye. It converts light into signals that the brain then interprets as images. The macula is the part of the retina responsible for central (straight ahead) vision. Diseases of the retina and macula can cause low vision and vision loss.
Dr. Wai’s research interests include working with data from electronic health record databases to improve patient outcomes. She has researched morbidity and mortality (illness and death) rates in patients with retinal vein occlusions and retinal artery occlusions. A retinal vein occlusion is a blocked vein to the retina that can cause vision loss. A retinal artery occlusion is when an artery to the retina is blocked, which is also sometimes referred to as eye stroke. Dr. Wai has also examined the effects of systemic medications on the retina. She has won several ophthalmology awards, including the Heed Fellowship and Harvard Medical School’s Excellence in Clinical Instruction Resident Award.
Dr. Wai has published in more than 40 peer-reviewed journals, including Ophthalmology, American Journal of Ophthalmology, and JAMA Ophthalmology. She has presented research at meetings and conferences around the United States.
Dr. Wai is a member of the American Board of Ophthalmology.
