School of Medicine
Showing 1-7 of 7 Results
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Irogue I Igbinosa
Instructor, Obstetrics & Gynecology - Maternal Fetal Medicine
Masters Student in Epidemiology and Clinical Research, admitted Autumn 2022BioIrogue Igbinosa, MD, is a Maternal-Fetal Medicine physician at Stanford University. She is currently an NIH Women's Reproductive Health Scholar (K12), and her research focus includes iron deficiency anemia in pregnancy, severe maternal morbidity and mortality, and health equity.
She graduated from the University of Houston and earned her medical degree at Baylor College of Medicine. She subsequently completed her residency in Obstetrics and Gynecology Residency at Louisiana State University School of Medicine Baton Rouge. After residency, she was an AAMC-CDC Public Health Policy Fellow able to serve in the CDC Emergency Operations Center and contribute to research for healthcare providers regarding the management of the Zika virus in pregnant persons. She completed her Maternal Fetal Medicine fellowship at Stanford in 2022.
Dr. Igbinosa is passionate about community-engaged approaches to bridge gaps in evidence-based care for birthing communities and collaborates with local and national policy committees to raise awareness for reproductive justice in maternal health. Her motto is to listen first and serve with compassion. -
Asef Islam
Masters Student in Biomedical Data Science, admitted Winter 2023
Masters Student in Computer Science, admitted Autumn 2022Current Research and Scholarly InterestsAI in medicine and other fields, particularly ML and CV techniques
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Haruka Itakura, MD, PhD
Assistant Professor of Medicine (Oncology)
BioDr. 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 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, multi-omic (e.g., radiomic, genomic, transcriptomic) data to accelerate discoveries in cancer diagnostics and therapeutics. Her current projects include prediction modeling of survival, treatment response, recurrence, and CNS metastasis in different cancer subtypes; detection of occult invasive breast cancer; and identification of novel therapeutic targets. Her ultimate goal is to be able to translate her research findings back to the clinical setting for the benefit of patients with difficult-to-treat cancers.
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Sarah Izabel
Ph.D. Student in Neurosciences, admitted Summer 2022
BioSarah was born and raised in Brazil where she attended law school before moving to the United States and shifting her interest to Neuroscience. She completed majors in Biology and Psychology at Virginia Commonwealth University (VCU) in 2020. At VCU, Sarah was part of the NIH-IMSD program and worked on uncovering mechanisms of axonal pathology in the lab of Dr. Jeff Dupree. She also worked on identifying the effects of income insecurity on decision-making in the lab of Dr. James Bjork. After graduating, Sarah worked at NIH as a UGSP Research Fellow and characterized a progranulin knockout mouse model in the lab of Dr. Alan Koretsky. She started her clinical work at NIH in the lab of Dr. Vijay Ramchandani where she worked to improve the diagnosis of alcohol use disorder. At Stanford, Sarah is interested in treating and managing neuropsychiatric disorders and increasing the representation of socially marginalized communities in research studies. When not in the lab Sarah enjoys reading, advocating for anti-poverty legislation, and hanging out with her son.
