PeopleofSuperintelligence

Researcher

Tina Hernandez-Boussard

Also known as Tina Hernandez‐Boussard

Tina Hernandez-Boussard is a Stanford professor and associate dean of research who develops criteria and guidelines for responsible AI in health care. She grew up in Bishop, California, earned a doctorate in computational biology and joined Stanford as a staff scientist in 1999. In 2020, she coauthored MINIMAR, a proposal for reporting the data, design and evaluation of medical AI. Her work on the DNA model Evo included an ethics and safety investigation in 2024. A 2026 study she coauthored combined language models and graph neural networks to identify chemotherapy toxicity symptoms in clinical notes.

Works
458
Citations
21,249
h-index
71
Badges

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 1991–1999

    Training in computational biology

    She grows up in Bishop, California, raising livestock and riding in rodeos. In 1991, she earns a BA in psychology and a BS in biology at the University of California, Irvine, and in 1993 she earns an MPH in epidemiology at Yale University. She completes a PhD in computational biology at Claude Bernard University Lyon 1 in 1999.

  2. 1999

    Staff scientist at Stanford

    In 1999, she joins Stanford as a staff scientist, building databases for gene expression analysis.

  3. 2009–2015

    Co-directing surgical outcomes research

    From 2009 to 2015, she serves as co-director of Stanford’s Surgical Center for Outcomes Research & Evaluation.

  4. 2013

    Health services research degree

    She earns an MS in health services research at Stanford University in 2013.

  5. 2020

    MINIMAR reporting standards

    In 2020, she coauthors MINIMAR with Selen Bozkurt, John P. A. Ioannidis and Nigam Shah. The proposal sets out minimum reporting information about medical AI, including patient populations, model design and evaluation, to help users assess its predictions and possible biases. She becomes a fellow of the American College of Medical Informatics in 2020.

  6. 2022

    Associate dean of research

    In 2022, she becomes associate dean of research at Stanford School of Medicine.

  7. 2024

    Ethics and safety for Evo

    In 2024, she conducts an ethics and safety investigation for Evo with postdoctoral scholar Madalena Ng and doctoral student Ashley Lewis. Evo is a generative AI model trained on DNA that can make predictions and design sequences across DNA, RNA and proteins.

  8. 2025

    NIH artificial intelligence working group

    In 2025, she is invited to serve on the NIH Advisory Committee to the Director’s Working Group on Artificial Intelligence. The group is asked to assess how NIH can improve its data collection and AI research portfolio.

  9. 2026

    Extracting chemotherapy toxicity symptoms

    In 2026, she coauthors a study that develops Graph-Augmented Transformer for Clinical Notes (GAT-CN). The system combines a language model with a graph neural network to extract chemotherapy toxicity symptoms from clinical notes.

  10. As of October 2026

    Professor at Stanford

    As of October 2026, she is a Stanford professor of medicine in Computational Medicine, biomedical data science and surgery, with a courtesy appointment in epidemiology and population health. She uses multimodal data to develop criteria and guidelines for responsible AI in health care. She also directs health informatics at the Stanford Center for Clinical and Translational Research and Education.

Career

  1. Since 2022Stanford UniversityAssociate Dean of Research
  2. NowStanford UniversityProfessor of Medicine in Computational Medicine, Biomedical Data Science and Surgery, with a courtesy appointment in Epidemiology and Population Health
  3. NowStanford UniversityDirector of Health Informatics, Stanford Center for Clinical and Translational Research and Education
  4. 2018–2022Stanford UniversityDirector, Faculty Development, Biomedical Informatics
  5. 2015–2017Stanford UniversityDirector, Surgical Health Services Research Unit
  6. 2009–2015Stanford UniversityCo-director, Surgical Center for Outcomes Research & Evaluation
  7. From 1999Stanford UniversityStaff Scientist

Education

  1. 2013Stanford UniversityMS in Health Services Research
  2. 1999Claude Bernard University Lyon 1PhD in Computational Biology
  3. 1993Yale UniversityMPH in Epidemiology
  4. 1991University of California, IrvineBA in Psychology
  5. 1991University of California, IrvineBS in Biology

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Checked career sources: profiles.stanford.edu.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Tina Hernandez-Boussard's Profile | Stanford Profiles profiles.stanford.edu. Checked 27 October 2026.
  2. Not her first rodeo | Stanford Open Minds openminds.stanford.edu. Checked 27 October 2026.
  3. MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care - PMC pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  4. Evo: Creating Generative AI for Genomes | Arc Institute arcinstitute.org. Checked 27 October 2026.
  5. Tina Hernandez-Boussard named to NIH AI Working Group | Spectrum | Stanford Medicine med.stanford.edu. Checked 27 October 2026.
  6. Graph augmented transformers improve chemotherapy toxicity symptom extraction from clinical notes | Nature Communications nature.com. Checked 27 October 2026.
  7. Tina Hernandez-Boussard | RAISE Health med.stanford.edu. Checked 27 October 2026.