Dr. Zinaida Good

Assistant Professor

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Biography

Zinaida Good is an Assistant Professor at Stanford University School of Medicine, focusing on immunology and rheumatology. She leads the Cancer Cell Therapy Data Hub and her research program centers on understanding and enhancing engineered T cell immunotherapies for cancer and immune-mediated diseases through innovative computational approaches in systems immunology. Dr. Good has a Ph.D. in Computational & Systems Immunology from Stanford University and has received postdoctoral training under notable mentors such as Crystal Mackall and Sylvia Plevritis. Her research has yielded significant findings in CAR T cell applications, leading to multiple first-author and co-authored publications in prestigious journals including Nature Medicine and Science. Throughout her academic career, Dr. Good has garnered various awards for her contributions to cancer research and has been supported by institutions like the NIH. She is actively involved in professional organizations and has participated in community outreach and wellness initiatives. Dr. Good's laboratory integrates machine learning with cutting-edge synthetic biology, aimed at developing next-generation T cell therapies for cancer and autoimmune diseases.

Research Interests

Experience

Assistant Professor

2024-01-01 — Present

Stanford University School of Medicine • Stanford, CA

Member of the Department of Medicine and directs the Cancer Cell Therapy Data Hub.

Investigator

2017-01-01 — Present

Parker Institute Cancer Immunotherapy • Stanford, CA

Conducts research on engineered T cell therapies.

Awards

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NIH Pathway Independence Award

2024-01-01
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AACR-Woman Cancer Research Scholar

2024-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.