School of Medicine
Showing 921-940 of 1,598 Results
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Michitaka Nakano
Basic Life Research Scientist, Medicine - Med/Hematology
BioI am a MD/PhD postdoctoral fellow and medical oncologist with a long-standing interest in translational cancer research. My long-term goal is to be a lab-based physician-scientist and independent academic researcher, translating basic cancer research, and mentoring next-generation scientists. My thesis work in Japan focused on cancer stem cell equilibrium by uniquely applying organoid culture as a method to elucidate cancer stem cell dynamics, which was awarded in Japanese Cancer Association. Along with the development of the field represented by success in T cell checkpoint, my interest gradually shifted to immune oncology while I examined numerous numbers of cancer patients as a medical oncology fellow. My postdoctoral fellowship at Calvin Kuo Lab in Stanford (2019-present) focuses on tumor immune microenvironment. Kuo lab developed a unique 3D air-liquid interface (ALI) organoid system that cultures tumors while preserving their endogenous infiltrating immune cells (T,B ,NK, Myeloid cells). My postdoctoral work will prove the significance of organoids as a translational tool to discover tumor-immune interaction by novel checkpoint inhibitors for immune cells, which can be broadly applicable to basic cancer biology, precision medicine, therapeutics validation and biomarker discovery.
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Rohollah Nasiri
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsMy current research focuses on developing tumor-on-a-chip models for preclinical radiation therapy research.
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Fateme (Fatima) Nateghi
Postdoctoral Scholar, Biomedical Informatics
BioAs a postdoc researcher at the Division of Computational Medicine, I find myself at the exciting intersection of machine learning and healthcare. My journey began with a PhD in Biomedical Sciences from KU Leuven in Belgium, where I explored the complexities of machine learning algorithms and their transformative potential in clinical settings. My research focused on adapting these algorithms for time-to-event data, a method used to predict when specific events may occur in a patient’s future.
At Stanford, my work centers on building trustworthy AI systems to enhance healthcare delivery. I develop and evaluate machine learning models that integrate structured electronic health records (EHRs) and unstructured clinical notes to support real-world clinical decision-making. My recent projects include predicting treatment retention in opioid use disorder, improving antibiotic stewardship for urinary tract infections, and enabling digital consultations through large language models (LLMs). I'm particularly interested in embedding-based retrieval and retrieval-augmented generation (RAG) methods that help bridge cutting-edge AI research with clinical practice.
My role involves not just advancing the integration of machine learning in healthcare but also collaborating with a diverse team of clinicians, data scientists, and engineers. Together, we're striving to unravel complex healthcare challenges and ultimately improve patient outcomes. -
Shaghayegh Navabpour
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsMy research investigates how genetic, transcriptomic, and epigenomic mechanisms shape brain function and contribute to psychiatric disorders, with a special focus on PTSD. By combining large-scale human genomic data with molecular neuroscience approaches, I aim to identify cell-type-specific pathways and therapeutic targets that advance our understanding and treatment of mental health conditions.
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Madelena Ng
Postdoctoral Scholar, Biomedical Ethics
BioDr. Madelena Ng is a Postdoctoral Scholar and NHGRI T32 ELSI Research Fellow at the Laurie J. Girand Center for Biomedical Ethics (GCBE) at Stanford. Dr. Ng is an applied health scientist whose work evaluates the real-world impact of emerging technologies on people and society. Her research has consistently shown that technological solutions alone are insufficient in addressing the shortcomings inherent in the biomedical research ecosystem.
Prior to Dr. Ng's appointment at GCBE, she was a Postdoctoral Scholar at the Stanford Division in Computation Medicine leading foundational work in AI ethics, governance, and responsible innovation. She will further her training in ELSI research at the intersection of generative biology, multisector research practices, and regulation. As generative AI continues to advance rapidly, she aims to embed ethics into the core of health AI development, operations, and decision-making. -
Andrew Thai Nguyen
Clinical Scholar, Medicine - Cardiovascular Medicine
Postdoctoral Scholar, Cardiovascular MedicineBioDr. Andrew Nguyen is a Cardiologist and a Clinical Scholar in the Department of Medicine, Division of Cardiovascular Medicine. He earned his medical degree from Harvard Medical School in the Harvard-MIT Health Sciences and Technology Program. He then completed his residency in Internal Medicine at Stanford University, followed by fellowship training in Cardiovascular Medicine also at Stanford University.
As a non-invasive cardiologist, Dr. Nguyen cares for patients undergoing cancer therapy as well as cancer survivors in the Stanford Health Care Cardio-Oncology Program. He provides evidenced-based cardiovascular care for patients throughout their cancer journey while managing and preventing treatment toxicities. Dr. Nguyen is a physician scientist who is mentored by Dr. Paul Cheng and Dr. Tom Quertermous. His research blends his clinical interest in cardio-oncology with basic science to understand the complex interplay between cancer angiogenesis and ischemic heart disease. He is a recipient of the AHA Postdoctoral Fellowship Award, ACC/Merck Research Fellowship Award, and NIH F32 Award.
