Stanford University
Showing 11-20 of 69 Results
-
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.
-
Alireza Namayandeh
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly InterestsAlireza Namayandeh’s research focuses on the formation, transformation, and environmental impacts of metal-bearing nanoparticles in soil, water, and air, with a particular emphasis on their role in wildfire-generated pollution. His work investigates how wildfires contribute to the release and transport of toxic metal nanoparticles, assessing their chemical and physical properties and their implications for human health and ecosystem contamination.
His current research, supported by the NSF Earth Science Postdoctoral Fellowship, explores the mechanisms by which biomass burning generates toxic airborne nanoparticles and how soil mineralogy influences their formation. By combining laboratory experiments, synchrotron-based spectroscopy, electron microscopy, and field studies, he aims to better understand the pathways of metal mobilization during wildfires. He is also leading efforts to analyze ash and soil samples from recent wildfires in California, including the Eaton and Palisade fires in Los Angeles, to assess the risks associated with airborne metal nanoparticles.
Beyond wildfire-driven pollution, he is interested in the fundamental geochemistry of nanoparticle formation and transport. His previous work on precursor clusters of iron oxy-hydroxides provided new insights into the formation of metal-bearing nanoparticles and their role in controlling contaminant mobility in the environment. He continues to explore how ultrafine particles interact with toxic metals, organic matter, and microbial communities in both terrestrial and atmospheric systems.
His broader scholarly interests include wildfire geochemistry, atmospheric particulate matter, environmental mineralogy, and the intersection of environmental geochemistry and public health. His goal is to develop a deeper understanding of how natural and anthropogenic processes influence the formation and dispersion of hazardous nanoparticles, ultimately contributing to improved air quality standards, risk assessment models, and environmental policies in wildfire-prone regions. -
Shingo Narita
Postdoctoral Scholar, Cardiovascular Institute
BioPostdoctoral Fellow
Cardiologist (Japan)
Research expertise: AL amyloid cardiomyopathy, Cardiac regeneration -
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.
-
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.
