School of Medicine
Showing 201-300 of 809 Results
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Francisco Galdos
Affiliate, Department Funds
Fellow in Pediatrics - CardiologyBioFrancisco earned his undergraduate degree in Human Developmental and Regenerative Biology from Harvard University, graduating magna cum laude. He subsequently completed his MD/PhD at Stanford University School of Medicine. During his doctoral training under the mentorship of Dr. Sean Wu, Francisco published one of the first comprehensive maps of human cardiac cell development using pluripotent stem cell-based models. His research contributed to the development of machine learning tools and genetic tracing systems that identified and characterized human left ventricular cardiomyocytes in vitro, enabling the modeling of left ventricular development in hypoplastic left heart syndrome. Francisco has authored multiple first-author publications and has been awarded funding from both internal sources and the NIH (F30, T32). He has received numerous accolades for his work, including the prestigious Harold Weintraub Award, and has presented his research at various national conferences. As part of the accelerated research pathway at Stanford, Francisco is focused on the genetic and epigenetic mechanisms underlying heart failure and heart development in congenital heart disease, with the ultimate goal of developing novel therapeutics for pediatric patients.
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Rebecca M. Gardner
Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2022
BioMy research interests are in maternal nutrition and well-being, with a current focus on hyperemesis gravidarum (HG)—severe nausea and vomiting during pregnancy that often causes significant maternal undernutrition and poor antepartum and postpartum mental health, and is the leading cause of hospitalization in early pregnancy. I study HG from several angles: the environmental exposures that may exacerbate it, including ambient air pollution and wildfire smoke, and whether these contribute to HG-related hospitalization; and its downstream consequences for both mothers and children, including hypertensive disorders of pregnancy such as preeclampsia, preterm birth, and neurodevelopmental conditions in childhood such as autism. More broadly, I am interested in hypertensive disorders of pregnancy, preterm birth, and gestational diabetes, and their subsequent effects on offspring. Methodologically, I am drawn to applying causal inference methods traditionally used in economics to questions in public health.
Before starting a PhD, I was a biostatistician in the Quantitative Sciences Unit at Stanford for four years where I co-authored over thirty publications, collaborating with clinicians on various domains including developmental behavioral pediatrics, reproductive endocrinology & infertility, oncology, and clinical trials. I completed my MS in Statistics at Brigham Young University in 2016, where I collaborated with cardiologists to develop a new approach to diagnose rheumatic heart disease in pediatric patients in Samoa for my Master's thesis. -
Linika Goel
Ph.D. Student in Biomedical Physics, admitted Autumn 2025
BioI am a first-year Biomedical Physics PhD student interested in neuroimaging techniques, data analysis, and the study of brain connectivity. I am committed to advancing diagnostics, treatment, and accessibility of care for neurological and psychiatric conditions.
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Ryunosuke (Ryan) Goto
Ph.D. Student in Biomedical Data Science, admitted Autumn 2024
BioRyunosuke (Ryan) Goto is a PhD student in Biomedical Data Science and a Knight-Hennessy Scholar. Prior to Stanford, Ryan was a Chief Resident in Pediatrics at Nagano Children's Hospital and the University of Tokyo Hospital. He is working with Prof. Robert Tibshirani and Prof. Jonathan K. Pritchard to develop and apply statistical tools to investigate gene regulatory networks in human traits. Ryan’s work has been published in The Lancet, JAMA Pediatrics, and Pediatrics, among other journals.
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Rose Heald
Masters Student in Translational Research and Applied Medicine, admitted Autumn 2025
BioAs a Master’s student in Translational Research and Applied Medicine at Stanford Medicine, I’m passionate about bridging the gap between scientific discovery and real-world clinical impact. My career interests lie at the intersection of science and business, with a focus on advancing the development and implementation of novel therapeutics—particularly in the areas of genetics, rare disease, and neurodegenerative diseases.
I bring experience in clinical research, including work on the BabySeq Project, a pioneering study of genomic newborn screening (gNBS). This experience sparked my ongoing interest in how genomic technologies can be implemented to identify actionable health risks early in life. I continue to contribute to this field through my involvement with the International Consortium on Newborn Sequencing (ICoNS), a global initiative advancing gNBS research. -
Anna Howley
Ph.D. Student in Immunology, admitted Autumn 2024
BioAnia Howley is an Immunology PhD student. She received her BS in Biology from College of the Holy Cross in 2022, where she investigated the function of APOBEC3G variants in the context of HIV infection. After completing her degree, she joined the Wyss Institute for Biologically Inspired Engineering at Harvard University. Using an organ-on-chip model, she studied the effects of radiation-induced injury on human bone marrow and developed an in-vitro model of Shwachman Diamond Syndrome using shRNA-based knockdown in primary CD34+ progenitor cells.
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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.
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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.
