Zinaida Good

Zinaida Good is an Immunology Ph.D. candidate at Stanford University. As one of the inaugural students in Stanford’s new Computational & Systems Immunology track, her current focus is on harnessing advanced statistics and machine learning to uncover novel insights into cancer immunotherapy. Zinaida’s current projects include (1) predicting clinical outcomes for children with leukemia based on single-cell mass cytometry data, and (2) modeling differentiation of human T cells in the context of expansion for cancer immunotherapy applications. Her background is in immunology (B.Sc. and M.Sc. from UBC in Vancouver, Canada) and oncology (she worked in Research at Genentech for 2 years). In her spare time, Zinaida strives for adventure and enjoys discussions about new technologies, T cells, neural network architectures, and Wikipedia.