Stanford University
Showing 151-200 of 229 Results
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Neve Isic
Graduate Visiting Researcher Student, Education
Current Research and Scholarly InterestsMergers and acquisitions, technology platforms and ecosystems, open innovation
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Dylan Iskandar
Undergraduate, Vice Provost for Undergraduate Education
Bioenthusiast of boiled chicken sammies.
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Winston Iskandar
Undergraduate, Vice Provost for Undergraduate Education
Biohater of boiled chicken sammies
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Asef Islam
Masters Student in Biomedical Data Science, admitted Winter 2023
Other Tech - Graduate, Rad/Thoracic ImagingCurrent Research and Scholarly InterestsAI in medicine and other fields, particularly ML and CV techniques
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Md Sazzad Islam
Undergraduate, Computer Science
BioIncoming freshman at Class of 2026. With a knack for working in AI, and Robotics to make an impact in Space Exploration Technology.
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Tauhid (Md Tauhidul) Islam
Assistant Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsMy research focuses on developing computationally efficient and clinically reliable AI methods for biomedical imaging and high-dimensional molecular data, with an emphasis on cancer and neurological disease. The Islam Lab designs novel representations and learning frameworks that improve deep learning performance in data-constrained biomedical settings, including methods that transform tabular omics data into spatially meaningful representations.
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Logan Istre
Research and Teaching Fellow, HOOVER RESEARCH
BioLogan Istre is a research and teaching fellow at Stanford University’s Hoover Institution, where he contributes to the History Lab’s Global Futures Working Group.
As a historian of the nineteenth- and early-twentieth-century United States, Istre specializes in social networks, political economy, and institutional development. His current book project, "Plowman’s Progress: The Movement that Remade Rural America," studies organized farmers not as populists but as state-building progressives, revealing how middle-class agrarians established research institutions and government bureaus to reconstruct the rural economy. Istre’s other interests range from constitutional politics and economic ideology to American populism. His next research project is a wide-ranging study of the interaction of social elites and popular political movements from the Civil War to the Great Depression. His scholarly work is forthcoming or has appeared in journals like The Journal of Southern History and The Journal of the Gilded Age and Progressive Era while his public-oriented writing has featured in a variety of venues.
Before coming to Stanford, Istre received his PhD in US history at Louisiana State University, where his work was supported by a University Dissertation Fellowship as well as grants from the Agricultural History Society and Forest History Society. Prior to his doctoral studies, Istre benefited from a James Madison Memorial Fellowship to pursue his master’s degree and taught high school in New Orleans. -
Haruka Itakura, MD, PhD
Assistant Professor of Medicine (Oncology)
On Leave from 2026-09-01 To 2026-12-01BioDr. Haruka Itakura is an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine, a data scientist, and a practicing breast medical oncologist at the Stanford Women’s Cancer Center. She is board-certified in Oncology, Clinical Informatics, Hematology, and Internal Medicine. Her research mission is to drive medical advances at the intersection of cancer and data science, applying state-of-the-art machine learning/artificial intelligence (AI) techniques to extract clinically actionable knowledge from heterogeneous multi-scale cancer data to improve patient outcomes. Her ongoing research to develop robust methodologies and apply cutting-edge techniques to analyze complex cancer big data was catapulted by an NIH K01 Career Development Award in Biomedical Big Data Science after obtaining a PhD in Biomedical Informatics at Stanford University. Her cancer research focuses on extracting radiomic (pixel-level quantitative imaging) features of tumors from medical imaging studies and applying machine learning frameworks, including radiogenomic approaches, for the integrative analysis of heterogeneous, multiomic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include data science/AI-powered prediction modeling of survival, treatment response, cancer recurrence, and metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her goal is to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
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Reem Itani, MD, MACM
Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioDr. Itani is board certified in sleep medicine and general pediatrics and has additional fellowship training in pediatric pulmonology and sleep medicine.
Dr. Itani diagnoses and treats a wide range of sleep disorders in adults and children.
Dr. Itani’s research interests include medical education and patient compliance and education. Her other research interests have included sleep consequences of Prader-Willi syndrome and congenital central hypoventilation syndrome.
Dr. Itani has published her research in peer-reviewed journals including Journal of Clinical Sleep Medicine, Current Neurology and Neuroscience Reports, Medical Teacher, and Brain & Development. She has presented to her peers at national and regional meetings, including the Institute for Healthcare Improvement, the Innovations in Medical Education Conference, and the American Thoracic Society.
Dr. Itani is a fellow of the American Academy of Pediatrics and a member of the American Thoracic Society and the American College of Chest Physician. -
Michael Iv
Clinical Professor, Radiology
Current Research and Scholarly InterestsMy clinical and research interests include brain tumor and vascular imaging in both the adult and pediatric populations, incorporating advanced MR imaging techniques and analyses using qualitative and quantitative methods.
