School of Medicine

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  • Edoghogho Titilayo Ighodaro

    Edoghogho Titilayo Ighodaro

    MD Student with Scholarly Concentration in Community Health / Women's Health - Sexual & Gender Minority Health, expected graduation Winter 2027

  • Shammah Ibukun Ike

    Shammah Ibukun Ike

    MD Student with Scholarly Concentration in Biomedical Ethics & Medical Humanities, expected graduation Spring 2025

  • Katelin Isakoff

    Katelin Isakoff

    MD Student, expected graduation Winter 2029

  • Asef Islam

    Asef Islam

    Masters Student in Biomedical Data Science, admitted Winter 2023
    Masters Student in Computer Science, admitted Autumn 2022

    Current Research and Scholarly InterestsAI in medicine and other fields, particularly ML and CV techniques

  • Haruka Itakura, MD, PhD

    Haruka Itakura, MD, PhD

    Assistant Professor of Medicine (Oncology)
    On Partial Leave from 03/01/2025 To 05/27/2025

    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.

  • Sarah Izabel

    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 with a clinical sample to identify the effects of income insecurity on decision-making in people with cocaine use disorder (CUD), in the lab of Dr. James Bjork. After graduating, Sarah went to the National Institutes of Health (NIH) as a UGSP Research Fellow and characterized a progranulin knockout mouse model in the lab of Dr. Alan Koretsky. She returned to her clinical research work in her second year at NIH in the lab of Dr. Vijay Ramchandani, where she worked to understand the relationship between neurological domains underlying Alcohol Use Disorder (AUD). At Stanford, Sarah is interested in treating and managing neuropsychiatric disorders and increasing access to participation in clinical research studies. Sarah is a RAISE fellow, a NIDA START Fellow, and an intern project manager for the Recovery Incentives Program.