School of Medicine
Showing 311-320 of 863 Results
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Kelly Hyles
MD Student with Scholarly Concentration in Community Health / Surgery, expected graduation Spring 2027
BioKelly is a first-year medical student. She graduated from Harvard College with a B.A. in Human Developmental and Regenerative Biology. Post-graduation, she completed a public service fellowship with 5G Dialysis Centre and the Ministry of Health, working to improve the accessibility and affordability of dialysis in Guyana. Kelly is interested in increasing health equity for underserved communities, both locally and abroad.
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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. -
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 (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.
