AI Ready and Equitable Atlas for Diabetes Insights (AI-READI) Yearlong Research Internship Program (July 2023-June 2024)

Program Overview:

The AI Ready and Equitable Atlas for Diabetes Insights program (AI-READI) is funded by the National Institutes of Health (NIH) through the Bridge to Artificial Intelligence (Bridge2AI) program, a large trans-NIH initiative to generate new datasets for advancing artificial intelligence (AI). One component of AI-READI is the Skills and Workforce Development Module, which includes the development of a yearlong mentored research internship program aimed at diversifying the future workforce at the intersection of data science/AI and the biomedical sciences and clinical research.

This internship program will be centered on developing skills and providing early exposure to AI, data science, and research, as well as the opportunity to gain exposure to faculty with expertise in AI and biomedical, clinical, and behavioral research. The program will include direct mentorship for a cohort of interns from AI-READI investigators/faculty mentors, as well as opportunities for career development. The program will correspond with an academic year timeline and will include an in-person two-week (100 hour) bootcamp at the University of California San Diego (UC San Diego) in the summer. After bootcamp, interns will work on a mentored research project related to AI-READI at sites across the country under the mentorship of AI-READI faculty mentors, while also engaging in a didactic curriculum conducted throughout the year. A year-end research symposium event will be held, which will allow interns to present their projects as well as provide an opportunity to interact with other interns and faculty members.

This is a paid internship, with monthly stipends ranging from about $2200 per month for predoctoral interns to $4500-$5500 per month for post-doctoral interns.

Curriculum Highlights:

Sample Research Projects:

Intern projects can span a wide range of areas. Pairings with research mentors will be made based on the intern’s area(s) of interest and career goals. Projects may involve direct analyses of the data generated by the overall AI-READI project (which involves multi-modal data collection from a diverse group of individuals with diabetes), developing tools for assessing or analyzing data, or advancing data standards related to a wide range of involved data types (e.g., electronic health records, wearables).

Faculty:

The AI-READI Internship Program is multi-institutional and includes faculty from a wide array of institutions. Lead faculty are from the UC San Diego, but teaching faculty and research mentors will be derived from the entire AI-READI team, which includes the University of Washington, the University of Alabama at Birmingham, Stanford University, Johns Hopkins University, and Oregon Health and Science University. All faculty members included in the program have had extensive experience in training and mentorship and represent multiple disciplines relevant to AI, data science, and clinical domains.

Sally Baxter, MD, MSc

(Principal Investigator / Program Director) Assistant Professor Division Chief for Ophthalmology Informatics and Data Science Shiley Eye Institute at UC San Diego

Linda M. Zangwill, PhD

(Co-Principal Investigator / Program Director) Professor of Ophthalmology Research Director Director, Hamilton Glaucoma Center, Data Coordinating Center Shiley Eye Institute at UC San Diego

Virginia de Sa, PhD

Professor in the Department of Cognitive Science, the Halıcıoğlu Data Science Institute, and the Neurosciences Graduate Program Halıcıoğlu Data Science Institute Associate Director UC San Diego

Garrison Cottrell, PhD

Professor in the Department of Cognitive Science,
UC San Diego

Bradley Voytek, PhD

Associate Professor in the Department of Cognitive Science, the Halıcıoğlu Data Science Institute, and the Neurosciences Graduate Program UC San Diego

Camille Nebeker, MS, EdD

Director, UC San Diego Research Ethics Program; Associate Professor, Herbert Wertheim School of Public Health and Human Longevity Science and UCSD Design Lab; Director, ReCODE Health

Samantha Hurst, PhD

Project Scientist Herbert Wertheim School of Public Health & Human Longevity Science UC San Diego

Resources:

For more information or questions about AI-READI please email UC San Diego program coordinator Victoria Patronilo at ai-readi-internship@health.ucsd.edu