School of Medicine
Showing 361-380 of 627 Results
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Jessica E. Gonzalez
Soc Science Rsch Asst 3, Psych/Public Mental Health & Population Sciences
BioJessica E. Gonzalez, MSW is the Associate Director for the Mental Health Technology Transfer Center (MHTTC) Network Coordinating Office (NCO). The MHTTC NCO is part of the Center for Dissemination and Implementation (CDI) in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. Through the MHTTC School Mental Health Initiative, Jessica is coordinating the work of 12 centers that provide training and technical assistance to the mental health and school mental health workforce to increase the use of evidence-based mental health prevention, treatment, and recovery support services for students across the United States.
Jessica has worked in the community as a social worker providing mental health services in school and outpatient clinic settings to children and adolescents of diverse socioeconomic, cultural and ethnic backgrounds. In addition, she has over 10 years of experience in project management and coordination for research and evaluation in the areas of early childhood learning and development, special education, post-secondary education attainment, and delivery of school mental health services. Jessica has also worked for several high school and college programs in the area seeking to improve educational outcomes for first-generation and low-income students of color. -
Julie Good, MD
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor (By courtesy), PediatricsCurrent Research and Scholarly InterestsJulie's academic interests include pediatric palliative care, pain and symptom management for children with life-threatening illness, medical acupuncture, and meaning in medicine (the humanistic side of doctoring)
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Zinaida Good, Ph.D.
Assistant Professor of Medicine (Immunology and Rheumatology)
Current Research and Scholarly InterestsOur laboratory integrates cutting-edge synthetic biology, immunology, and machine learning to engineer T cell therapies for cancer and autoimmune diseases. We have 3 research areas:
- Analysis of clinical single-cell and spatial transcriptomics datasets from T cell therapy trials to identify mechanisms of resistance
- Building AI systems to generate T cell designs predicted to improve patient outcomes
- Genetic screens of novel T cell designs in models that mimic key mechanisms of resistance
