School of Medicine
Showing 1-8 of 8 Results
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Assel Ibadulla
Ph.D. Student in Health Policy, admitted Autumn 2025
BioAssel Ibadulla is a PhD student in Health Policy, specializing in Decision Sciences, and a Knight-Hennessy Scholar. She graduated with honors in Biological Sciences from Nazarbayev University and earned a Master of Public Health in Health Policy from Yale University as a Horstmann Scholar. Assel aims to leverage decision sciences to support policymakers in making cost-effective and equitable health decisions, with a focus on strengthening health systems in low- and middle-income countries.
Previously, Assel worked at Yale’s Equity Research and Innovation Center, where she focused on healthcare equity for ethnic minorities, and at the Harvard Health Systems Innovation Lab, where she contributed to research on transitioning to high-value health systems, and additionally, assisted with WHO global health projects.
She also placed in the top 10 at the Asian Universities Alliance Social Entrepreneurship Competition at Tsinghua University for her mental health app, Mind Matters. -
Koto Imahori
Masters Student in Community Health and Prevention Research, admitted Autumn 2025
Stanford Student Employee, Bechtel International Center
Game Day Staff, Corporate PartnershipsCurrent Research and Scholarly InterestsPreventive Medicine, Suicidology, Eating Disorders
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Asef Islam
Masters Student in Biomedical Data Science, admitted Winter 2023
Current 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 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.
