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AI-driven engineered T cell therapies for cancer

and autoimmune diseases

Our Research

Our laboratory integrates cutting-edge synthetic biology, immunology, and machine learning to engineer next-generation T cell therapies for cancer and autoimmune diseases.

The lab has 3 major research areas:

1

Analysis of clinical multi-omic and muti-scale datasets from T cell therapy trials to identify mechanisms of resistance

2

Building AI systems to generate T cell designs predicted to improve patient outcomes and reduce toxicity

3

Genetic screens and evaluation of novel T cell designs in models that mimic clinical resistance mechanisms

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Graphics by

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Photo by Jonathan Scott

We are a team of physicians and scientists specializing in medicine, immunology, cancer, autoimmunity, bioengineering, bioinformatics, and artificial intelligence.

 

Our culture is positive, collaborative, innovative, and fast-paced.

 

What drives us is the unique opportunity to create advanced T cell therapies that could transform patient care. Learn more about our team here.

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We welcome applications from outstanding and motivated undergraduate researchers, graduate students, postdoctoral scholars, and physician-scientists specialized in immunology, bioengineering, bioinformatics, and/or AI who are interested in joining our interdisciplinary research program. Here is how to apply​

Please consider donating to the Good Lab to support our research here

  • Select “Stanford Medicine” from the dropdown menu

  • Select "Other Stanford Designation"

  • Type in "Zinaida Good Lab" in the "Other" box

  • Then,  complete the remainder of the form  

Our Partners

The Good Lab is part of the Division of Immunology and Rheumatology and the Division of Computational Medicine within the Department of Medicine at Stanford University. We are members of the Stanford Center for Cancer Cell TherapyStanford Cancer Institute, Stanford Center for Digital Health, Stanford HAIStanford Bio-X, and the Parker Institute for Cancer Immunotherapy. Dr. Good leads Stanford Center for Cancer Cell Therapy's Data HubOur team is grateful to our supporters and partners.

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