School of Medicine


Showing 81-90 of 113 Results

  • Kouta Niizuma

    Kouta Niizuma

    Basic Life Research Scientist, Stem Cell Bio Regenerative Med Institute

    BioI am a Research Scientist in Prof. Hiromitsu Nakauchi's laboratory at Stanford University. I obtained my PhD in Immunology from the University of Tsukuba, Japan. During my doctoral studies in Prof. Akira Shibuya's laboratory, I focused on the characterization of cell surface receptors expressed on immune cells. I successfully cloned a novel human immunoglobulin-like receptor, CD300H, and established a specific monoclonal antibody. My research demonstrated that CD300H is expressed on a subset of human monocytes and dendritic cells and plays a crucial role in enhancing inflammation by promoting the production of inflammatory cytokines and chemokines.

    During my PhD, I also studied as a visiting scholar in Prof. Lewis L. Lanier's laboratory at UCSF, where I investigated the role of the activating receptor NKG2D on NK cells in viral immunity.

    Since May 2018, I have been a member of the Nakauchi lab. My current research focuses on the development of new immunotherapies using myeloid cells derived from iPS cells, the generation of monoclonal antibodies, and hematopoietic stem cell biology.

  • Margaret Claire Nikolov

    Margaret Claire Nikolov

    Senior Manager of Quantitative Analysis, Clinical Excellence Research Center (CERC) Operations

    BioDr. Meg Nikolov joined CERC in July 2022 as Senior Manager of Quantitative Analysis. Prior to CERC, Meg led the Technical Consulting and Advanced Analytics team, National Market Research at Kaiser Permanente, where her work focused on access to care and on telehealth during the COVID-19 pandemic. Prior to relocating to the West Coast, Meg was Assistant Professor in the Math Department at the United States Naval Academy. At the Naval Academy, Meg coordinated and taught the statistics and probability courses, co-taught the capstone research course in quantitative economics, advised student research projects, and collaborated with faculty on interdisciplinary research. Meg continues to collaborate on research exploring gender and racial bias in professional performance evaluations. Meg received her Bachelor of Science in Statistics and Biometry from Cornell University and her PhD in Biostatistics from Harvard T.H. Chan School of Public Health.

  • Danielle Osburg

    Danielle Osburg

    Adm Svcs Admstr 2, Stanford Laboratory for Cell and Gene Medicine

    Current Role at StanfordAt the Laboratory for Cell and Gene Medicine (LCGM), I provide administrative and operational support:

    - Develop, lead and engage stakeholders in process improvement procedures and initiatives that further promote the lab culture, vision and mission.
    - Implement and liaison on HR functions including recruitment, hiring, onboarding and orienting, transitions, and separations.
    - Construct and ensure unit policies align with University, Department and Division initiatives, policies and guidelines.
    - Manage and create communication platforms and content, sharing lab and campus wide initiatives and events; health and wellness, development offerings, affinity groups, and DEIJ.
    - Generate, build and implement innovative organization systems and solutions for data management and reporting.
    - Perform finance and travel transactions; STAP, P-Card, T-Card, Expense Reporting, and Procurement.
    - Promote a positive culture, experience and development through the creation and coordination of in-lab training opportunities on a wide range of subjects; e.g., Wellness, Communication, Psychological Safety, Interviewing Skills

  • Esa Rasanen

    Esa Rasanen

    Visiting Scholar, Chemical and Systems Biology Operations
    Affiliate, SPARK at Stanford

    BioI am a Professor of Physics at Tampere University with a background in quantum physics and dynamics, and broad experience in multidisciplinary research at the interface of physics, engineering, and medical sciences. My work has increasingly focused on computational cardiology, electrocardiography, and physiological signal analysis, where our team develops algorithms and software for extracting clinically meaningful information from complex biosignals. I have been involved in both academic research and applied innovation, including clinical validation studies and technology translation in healthcare and wearables. I am particularly interested in problems where rigorous physical modeling, data-driven methods, and real-world medical applications intersect.