School of Medicine

Showing 131-140 of 140 Results

  • Felipe Vences Catalan

    Felipe Vences Catalan

    Instructor, Medicine - Oncology

    Current Research and Scholarly Interests My current research focuses on understanding the biology of cancer, more specifically how Tetraspanin molecules contribute to the development and spread of cancer. I am also interested in unraveling the interaction of immune cells in the tumor microenvironment and how we can use immunotherapy to treat lymphoma and breast cancer aiming towards translational medicine.

  • Heather Wakelee

    Heather Wakelee

    Professor of Medicine (Oncology) at the Stanford University Medical Center

    Current Research and Scholarly Interests Dr. Wakelee's research is focused on clinical trials and translational efforts in patients with lung cancer and other thoracic malignancies such as thymoma and thymic carcinoma. Other interests include translation projects in thoracic malignancies and collaborations with population scientists regarding lung cancer questions.

  • Li Xia

    Li Xia

    Affiliate, Medicine - Med/Oncology

    Bio Dr. Xia has left Stanford to become Assistant Professor at the Division of Biostatistics, Department of Epidemiology and Public Health, Albert Einstein College of Medicine in New York City. To contact him via LinkedIn: Find his latest research at:

    Dr. Xia is a hybrid computer scientist, statistician and bioinformatician who takes a general interest in genome sciences and medicine. His career goal is to advance the field of precision health, in particular precision cancer medicine, by integrating novel technology, big-data, and intelligent models. Dr. Xia worked extensively on microbiome and human multiomics data modeling and analysis. His publications addressed many methodological needs in commensal bacteria, structural variation, and cancer genomics analysis. He and his works were recognized by the career awards he received from the American Cancer Society and the Innovation in Cancer Informatics Fund. Find out more about his research at

  • Mi Yang

    Mi Yang

    Postdoctoral Research Fellow, Oncology

    Bio I am a bioinformatics scientist working in cancer immunotherapy. Originally trained as a pharmacist, I then did a PhD in machine learning applied to cancer drug screenings. My main areas of interest are: cancer immunotherapy and drug discovery. I am currently developing a reverse translational framework for drug discovery in DLBCL and building an interaction network to capture tumor microenvironment signaling and cell cell interactions. My overarching goal is to develop new immunotherapies for cancer and make the drug development process more efficient, rational and data driven.

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