Dr. Zinaida Good is an Assistant Professor at Stanford University's Department of Medicine, with joint appointments in the Division of Immunology and Rheumatology and the Division of Computational Medicine. She also serves as the Director of the Data Hub at the Stanford Center for Cancer Cell Therapy. Her masters training in experimental immunology, doctoral training in computational and systems immunology, and postdoctoral work on chimeric antigen receptor (CAR) T cell therapies have uniquely positioned her research program to tackle complex challenges in cancer immunotherapy through innovative computational approaches. Her lab develops advanced algorithms for high-dimensional single-cell, spatial, and clinical data to identify mechanisms of therapy resistance based on primary patient samples. The lab leverages internal and public clinical multi-omic T cell therapy datasets to build artificial intelligence systems for enhanced T cell designs with improved predicted clinical outcomes. This approach enables the lab to test novel T cell design strategies preclinically in models that recapitulate clinical resistance mechanisms and gather sufficient data for clinical translation. Dr. Good is deeply committed to training and supporting the next generation of scientists who will drive innovation in biomedical research. Her lab provides a collaborative, intellectually stimulating environment where trainees can develop the technical skills, critical thinking abilities, and professional competencies needed for successful careers in science.