AIM-AHEAD All of Us Training Program

Program Directors

Toufeeq Syed, PhD; Robert Mallet, PhD; Legand (Lee) Burge, PhD

Purpose

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

About AIM-AHEAD

Artificial Intelligence/Machine Learning Consortium to Advance Health Equity And Researcher Diversity (AIM-AHEAD) is an initiative funded by the National Institutes of Health that is dedicated to enhancing diversity in the field of artificial intelligence and machine learning (AI/ML), with emphasis on reducing health disparities and promoting health equity. Led by the AIM-AHEAD Coordinating Center, this program has cultivated a diverse nationwide consortium that embraces equity and transparency, aimed at leveraging AI/ML to enhance health outcomes across diverse and under-resourced communities. Through the establishment of strategic partnerships, targeted research programs, and engagement with key stakeholders, AIM-AHEAD continues to bolster participation and foster meaningful involvement within the AI/ML and health equity field.

Participants

Through a collaborative partnership between AIM-AHEAD, All of Us, and RTI, Cohort 1 engaged 23 trainees from a diverse group of graduate students, postdocs, early-career faculty, healthcare professionals, and other non-academic professionals from underrepresented populations.

Cohort 1 Trainees
  1. Tadesse Abegaz: Florida Agricultural and Mechanical University
  2. Emily Bear: So’oh-Shinálí Sister Project
  3. Alaysia Brown: Harvard University
  4. Cecily Byrne: University of Illinois at Chicago
  5. Mia Campbell: Johns Hopkins Bloomberg School of Public Health
  6. Christian Cazares: University of California San Diego
  7. Sonya Dave: Voice of a Child
  8. Anita Esquerra-Zwiers: Hope College
  9. Wesley Godfrey-Chaparro: Johns Hopkins University
  10. Steven Golob: University of Washington Tacoma
  11. Yaritza Inostroza-Nieves: San Juan Bautista School of Medicine
  12. Laleh Jalilian: University of California Los Angeles
  13. Youjeong Kang: Emory University
  14. LaKeta Kemp: Howard University
  15. Jonathan Kim: Arizona State University
  16. Monica Ochapa: Morgan State University
  17. Michael Ortega: The Queen's Medical Center, Center for Biomedical Research
  18. Fadekemi Osaye: Alabama State University
  19. Oyomoare Osazuwa-Peters: Duke University
  20. Zahra Rahemi: Clemson University
  21. Lyndee Ward: University of North Texas Health Science Center
  22. Shayla Williams: Albany State University
  23. Robin Zhao: Weill Cornell Medicine

Cohort 1 Participant Data

Cohort 1: Career Stages (23 Trainees)
Cohort 1: Career Stages (23 Trainees)
Cohort 1: Organization Affiliation (23 Trainees)
Cohort 1: Organization Affiliation (23 Trainees)

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.

All of Us Available Data Types

All of Us Data types as of April 2023
All of Us Data types as of April 2023
Cohort 1 Outcomes

The infographic below provides a snapshot of key metrics from the AIM-AHEAD All of Us Training Program for Cohort 1, which was comprised of 23 trainees. It highlights participation, feedback, task completion, and overall progress toward the program’s goals. (Some metrics may vary based on trainee evaluation response totals; variations have been indicated below).

AIM AHEAD All Of Us Cohort 1 Training Program Outcomes
AIM AHEAD All Of Us Cohort 1 Training Program Outcomes

View additional Cohort 1 Accomplishments here: AIM-AHEAD All of Us Cohort 1 Trainee Achievements

Program Inquiries

All questions and inquiries regarding this program can be directed to the AIM-AHEAD Training Programs HelpDesk. Please create a help ticket here: HelpDesk - Submit a Ticket

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