AIM-AHEAD All of Us Training Program

The AIM-AHEAD All of Us Training Program is intended to increase research in AI/ML by leveraging the All of Us data and infrastructure (Researcher Workbench). This training program was designed to increase research in AI/ML by training individuals from various backgrounds who are committed to gaining proficiency in AI/ML data analysis, and applying their expertise to benefit all American communities.

AIM-AHEAD All of Us Trainees at the AIM-AHEAD Annual Meeting
AIM-AHEAD All of Us Trainees at the AIM-AHEAD Annual Meeting

Program Goals

Leverage Data Resources

Expand AI/ML research using the All of Us Researcher Workbench and national data infrastructure

Build AI/ML Data Proficiency

Train participants to develop strong skills in AI/ML-driven data analysis

Advance Research for All Communities

Apply AI/ML expertise to improve health outcomes across American communities

AIM-AHEAD All of Us Training Program

Program Trainees

Through a collaborative partnership between AIM-AHEAD, All of Us, and RTI, the AIM-AHEAD All of Us Training Program will engage a cohort of up to 25 trainees made up of graduate students, postdocs, early-career faculty, healthcare professionals, and other non-academic professionals from communities across the United States.

Cohort 1

Distribution of Cohort 1 Trainees by Hub
Distribution of Cohort 1 Trainees by Hub

Cohort 2

Distribution of Cohort 2 Trainees by Hub
Distribution of Cohort 2 Trainees by Hub

Cohort 3

Distribution of Cohort 3 Trainees by Hub
Distribution of Cohort 3 Trainees by Hub

Geographical Distribution of Trainees by Institution

AIM-AHEAD All of Us Training Program

Cohort 1 Impact

Trainees leveraged the AIM-AHEAD Connect Platform, AIM-AHEAD Data Science Training Core, and All of Us Resources to navigate the program and complete a research project utilizing All of Us data subsets in the Researcher Workbench.

Participants also received training and technical assistance related to R, Python, Jupyter Notebook, and model development. Graduates of this training program are well prepared to harness AI/ML approaches to conduct hypothesis-driven analysis of complex datasets.

Data types on the All of Us Researcher Workbench as of April 2023
Data types on the All of Us Researcher Workbench as of April 2023
AIM-AHEAD All of Us Training Program

Cohort 1 Outcomes

The infographic to the right provides a snapshot of trainee outcomes from the AIM-AHEAD All of Us Training Program for Cohort 1. It highlights participation, feedback, task completion, and overall progress toward the program’s goals. Note: Metric totals may vary based on the number of trainees who responded to individual evaluation questions. Response counts are noted where applicable.

AIM-AHEAD All of Us Training Program

Cohort 2 Outcomes

The following infographic provides an overview of trainee outcomes from Cohort 2 of the AIM-AHEAD All of Us Training Program. These findings highlight trainee engagement, scholarly achievements, career advancement, and knowledge gains, offering a snapshot of participant experiences and the program's impact throughout the training period. Note: Metric totals may vary based on the number of trainees who responded to individual evaluation questions. Response counts are noted where applicable.

AIM-AHEAD All of Us Training Program

Cohort 3 Outcomes

The following infographic provides an overview of trainee outcomes from Cohort 3 of the AIM-AHEAD All of Us Training Program. These findings highlight trainee engagement, scholarly achievements, career advancement, and trainee background, offering a snapshot of participant experiences and the program's impact throughout the training period. Note: Metric totals may vary based on the number of trainees who responded to individual evaluation questions. Response counts are noted where applicable.

Program Inquiries Have a question? Reach out to us by creating a Helpdesk ticket. Create a Helpdesk Ticket
Program Directors Toufeeq Syed, PhD, MS; Robert Mallet, PhD; Legand (Lee) Burge, PhD; Jennifer Uhrig, PhD
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