School of Medicine


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  • Michitaka Nakano

    Michitaka Nakano

    Postdoctoral Scholar, 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.

  • Fateme Nateghi Haredasht

    Fateme Nateghi Haredasht

    Postdoctoral Scholar, Biomedical Informatics

    BioAs a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research, 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 delved into the complexities of machine learning algorithms and their transformative potential in healthcare settings. My research, particularly focused on adapting these algorithms for time-to-event data (a method used for predicting specific events in a patient’s future), has not only been a challenging endeavor but also a deeply fulfilling one.

    Now at Stanford, my role involves not just advancing machine learning integration in healthcare, but also collaborating with a diverse team of experts. Together, we're striving to unravel complex healthcare challenges and improve patient outcomes.

  • Madelena Ng

    Madelena Ng

    Postdoctoral Scholar, Biomedical Informatics

    BioMadelena is a postdoctoral scholar at the Stanford Center for Biomedical Informatics Research (BMIR). Her research aims to illuminate the evolving ethical and practical challenges among digital and emerging technologies (e.g., web- and app-based population health research, clinical AI solutions, blockchain for health data). Her work in the Boussard Lab focuses on discerning key factors for clinical AI solutions to flourish in practice—from the readiness of the datasets for machine learning research to the operational principles that are required for successful clinical deployment.

  • Minh Dai Nguyen

    Minh Dai Nguyen

    Postdoctoral Scholar, Gastroenterology

    BioDr. Minh Nguyen joined the Prof. Jeffrey Glenn laboratory as a postdoctoral scholar in August 2022. In collaboration with Safaran ChEM-H Medicinal Chemistry Knowledge Center, his research objective is to harness the power of organic synthesis toward the development of novel antiviral therapies. Minh obtained his Ph.D. in Chemistry from the University of Pennsylvania under the direction of Prof. Amos B. Smith, III, where his doctoral work centered on the convergent total synthesis of two marine natural products nahuoic acids Cii and Dii.