School of Medicine
Showing 301-400 of 939 Results
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Marzan Shababa Hamid
MD Student with Scholarly Concentration in Health Services & Policy Research, expected graduation Spring 2027
BioSumma Cum Laude, Bachelor of Health Sciences (BHSc) McMaster University 2022
Marzan's academic interests include Health Policy, Health Systems Improvement, and Health Equity. -
Henna Hundal
MD Student with Scholarly Concentration in Clinical Research, expected graduation Spring 2026
BioTeaching Assistant, EMED 134/234: The Impact of Climate Change on Human Health"
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Kelly Hyles
MD Student with Scholarly Concentration in Community Health / Surgery, expected graduation Spring 2026
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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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.
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Bhav Jain
MD Student, expected graduation Spring 2028
BioBhav Jain is pursuing an MD at the Stanford School of Medicine as a Knight-Hennessy Scholar, Harry S. Truman Scholar, and Samvid Scholar. He graduated from the Massachusetts Institute of Technology (MIT) with a bachelor’s degree in computer science and brain and cognitive sciences. At MIT, he was a Legatum Fellow and received the 40 Under 40 in Cancer Award.
His research on healthcare delivery, social determinants of health, and value-based care has been published in outlets such as Nature Medicine, The Lancet Digital Health, JAMA Oncology, Journal of the National Cancer Institute, American Journal of Public Health, Cancer, Journal of the American College of Surgeons, Journal of General Internal Medicine, and American Journal of Managed Care. While at MIT, he launched The Connected Foundation, which forges intergenerational connections between youth and seniors, and Compass, an SMS platform that streamlines patient intake and scheduling. Most recently, he served as a Fellow at the Boston Public Health Commission to implement interventions aimed at curbing substance abuse and homelessness. As a physician-policymaker, Bhav aspires to create high-value, evidence-based healthcare systems that transform clinical care globally. In particular, he seeks to innovate at both public- and private-sector organizations during his career to improve the quality of and lower the cost of patient care. -
Jlateh Vincent Jappah
Ph.D. Student in Health Policy, admitted Autumn 2021
Master of Arts Student in Economics, admitted Spring 2024
Other Tech - Graduate, School of Medicine - Grad Student SupportBioJlateh Vincent Jappah is a PhD Candidate in Health Policy (Health Economics) at Stanford School of Medicine and Stanford Freeman Spogli Institute for International Studies. His research interests intersect between methods that enhance access to the social determinants of health and the provision of appropriate and timely healthcare services, with the aim of reducing avoidable morbidity and mortality and improving overall health and well-being, especially for underserved and vulnerable populations.
Jlateh contends that although health insurance and access to healthcare services are important elements in the health production function, other structural and socio-economic factors collude to either foster or erode health. As such, he has a keen interest in public policy, economics, medicine, global public health, maternal and child health, and a curiosity to understand those socio-political and institutional forces that shape health and well-being. He is also interested in machine learning and artificial intelligence in healthcare.
In addition to the United States, Jlateh has lived and worked in several countries in Africa, Asia, and Europe.
He is bi-lingual (English and Russian). -
Tiffani Johnson
MD Student, expected graduation Spring 2026
BioI am a passionate, outgoing, dedicated and research-driven second year medical student at Stanford School of Medicine. I aspire to become an exceptional physician and desire to address the social determinants of health in my daily work. I am also interested in the realms of social media marketing, graphic design, business, and the intersection of app/social media development.
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Timothy Keyes
MD Student, expected graduation Spring 2024
MSTP StudentBioTimothy is an MD/PhD student studying cancer biology and biomedical informatics at the Stanford University School of Medicine. He is a joint member of Kara Davis's laboratory in the Department of Pediatrics and Garry Nolan's Laboratory in the Department of Pathology.
As a biomedical data scientist, Timothy's research focuses on the application of machine learning to single-cell data analysis in the context of pediatric leukemia. Through the use of emerging, high-throughout single-cell technologies such as mass cytometry and sequence-based cytometry, Timothy's research is designed to build predictive models of patient outcomes - such as relapse or minimal residual disease (MRD) - at the point of diagnosis. To do so, he uses a variety of computational tools including generalized linear models, clustering, and deep learning. In addition, his work prioritizes constructing easy-to-use, highly-reproducible data analysis pipelines that can be shared as open-source tools for the scientific community.
Outside of science, Timothy has a longstanding interest in human rights and social justice work among members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ+) community. He currently serves as the resident data scientist for the Medical Student Pride Alliance (MSPA), a 501(c)(3) non-profit organization that advocates for diversity, equity, and inclusion for LGBTQ+ medicals students in medical schools across the United States. As a data scientist at MSPA, Timothy analyzes and visualizes data to guide MSPA's strategic decision-making as well as for academic publication. He also advises and mentors other student members of MSPA performing data analysis in Python and R.
In recognition of his accomplishments, Timothy has received several institutional and national award for both research and advocacy. These include a National Research Service Award (NRSA) from the National Cancer Institute, a Junior Leadership Award from the Building the Next Generation of Academic Physicians (BNGAP) LGBT Workforce, Stanford Medicine’s Integrated Strategic Plan Star Award, and a Point Foundation Scholarship.
