NIH National Library Of Medicine (NLM) T15 Training Grant
The Department of Biomedical Data Science is grateful for over 40 years of continued support from the NIH National Library of Medicine (NLM). The NLM’s T15 program offers graduate education, postdoctoral training and research experiences in a wide range of areas including health care informatics, translational bioinformatics, clinical informatics, public health informatics and consumer health informatics. Trainees receive exposure to a core curriculum focused on biomedical data science concepts and methods to develop the skills needed to lead independent future research. Stanford DBDS has an additional area of T15 training in HIV/AIDS and other infectious diseases.
In recognition of this long-standing partnership, Stanford was proud to host the NLM T15 Training Conference in 2023, bringing together trainees and faculty from programs across the country to share research and strengthen collaboration.
More information about the NLM and its university-based Biomedical Informatics and Data Science Research Training Programs can be found at the following link: NLM T15 page.
Our enduring collaboration with the NLM T15 has fostered an environment where trainees learn to design, implement, and analyze novel quantitative and computational methods that solve challenging, data-driven biomedical problems. Today, our trainees access unprecedented amounts of biomedical data – from single-cell and molecular level genomics, images from pathology and radiology, electronic health records, clinical trial outcomes, real-world observations, and patient-generated data from connected devices. This rich multimodal data, combined with the latest computational approaches in AI and machine learning, empower our students to derive deep insights and address challenging real world problems across the entire spectrum of biology and medicine.
The Department of Biomedical Data Science (DBDS)
DBDS is an academic research community that is composed of faculty, students, and staff whose mission is to advance precision health by leveraging large, complex, multi-scale real-world data through the development and implementation of novel analytical tools and methods. As the home of the Biomedical Data Science Graduate Program, DBDS is proud to foster the development of future leaders through our long-standing collaboration with our T15 partners.
Eligibility for the NLM T15 funding:
- Must be a US citizen or permanent resident
- PhD applicants: must apply through the regular PhD admissions process
- Academic MS applicants: applicants who already hold a doctoral degree (e.g., MD, PhD, or equivalent) are eligible to apply to the Academic MS in Biomedical Data Science through the regular Biosciences admissions process, and will also be considered for NLM T15 funding.
- Trainees appointed on T15 grant cannot receive funding from another federal source at the same time
Prerequisite:
- Please see our prerequisites page for more information
PI:
Sylvia Plevritis, Professor and Chair Department of Biomedical Data Science, PhD
Program Faculty
- Russ Altman, MD, PhD
- Euan Ashley, MD
- Michael Baiocchi, PhD
- Emma Brunskill, PhD
- Carlos Bustamante, PhD
- Ying Qing Chen, PhD
- Christina Curtis, PhD
- Manisha Desai, PhD
- Ron Dror, PhD
- Trevor Hastie, PhD
- Tina Hernandez-Boussard, PhD
- Purvesh Khatri, PhD
- Teri Klein, PhD
- Anshul Kundaje, PhD
- Ying Lu, PhD
- Stephen Montgomery, PhD
- Mark Musen, MD, PhD
- Jonathan Pritchard, PhD
- David Rehkopf, PhD
- Manuel Rivas, PhD
- Sheri Rose, PhD
- Daniel Rubin, MD
- Chiara Sabatti, PhD
- Julia Salzman, PhD
- Robert Shafer, PhD
- Michael Snyder, PhD
- Nigam Shah, PhD
- Lu Tian, PhD
- Rob Tibshirani, PhD
- Dennis P. Wall, PhD
- Wing Wong, PhD
- Serena Yeung, PhD
- James Zou, PhD