# Biomedical Informatics Training Program at Stanford

> **NIH NIH T15** · STANFORD UNIVERSITY · 2024 · $1,042,967

## Abstract

For almost four decades, the Stanford Biomedical Informatics (BMI) Program has granted PhD and MS degrees
to graduates who have made significant contributions to biomedicine and health through data-driven and
computationally-derived scientific discoveries and advances. Today, our trainees have access to unprecedented
amounts of biomedical data that span our entire biomedical enterprise, and they are empowered by their training
in biomedical informatics and data science to advance the life sciences and improve clinical care. Our proposal
for the future of BMI training at Stanford harnesses the opportunity to produce the next generation of researchers
who will enable precision medicine through innovations in translational bioinformatics, health care informatics
and clinical research informatics. We request annual support for training 11 pre-doctoral candidates (including
two candidates in HIV informatics), 6 postdoctoral candidates, and 4 short-term diversity candidates, for a period
of 5 years. Our trainees will benefit from a rich curriculum that consists of specially-designed core courses in
biomedical informatics and data science, technical electives from companion fields of computer science,
statistics, mathematics and engineering, domain electives in biological and clinical sciences, and instruction on
the principles of responsible conduct of research and the methods of rigor and reproducible research. Our
trainees will be provided with outstanding mentored research opportunities offered by 34 investigators who
collectively represent 16 departments and divisions across 3 schools at Stanford University. Beginning in August
2021, our BMI program will benefit from the recent establishment of the Department of Biomedical Data Science
(DBDS) at Stanford, for which it will be the primary graduate training program. DBDS will serve as a critical nexus
to increase the education and research opportunities for our BMI trainees. Our environment is well-positioned
for such expanded opportunities due to a recent explosion of highly successful initiatives including the Institute
for Human-Centered AI (HAI), the Center in Artificial Intelligence in Medicine Imaging (AIMI), and the Center in
Digital Health (CDH). In addition, our training is deeply considerate of issues related to diversity, equity and
inclusion (DEI) in all aspects. Our program has a long track record of diversity recruitment and retention, which
we have expanded through a DEI focus in our curriculum, with new course content related to fairness and bias,
and through the creation of new outreach opportunities for applicants. Through these efforts and others, Stanford
University remains a fertile environment to advance human health through training in biomedical informatics and
data science.

## Key facts

- **NIH application ID:** 10862820
- **Project number:** 5T15LM007033-41
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** SYLVIA KATINA PLEVRITIS
- **Activity code:** T15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $1,042,967
- **Award type:** 5
- **Project period:** 1984-07-01 → 2027-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10862820

## Citation

> US National Institutes of Health, RePORTER application 10862820, Biomedical Informatics Training Program at Stanford (5T15LM007033-41). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10862820. Licensed CC0.

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