AIM-AHEAD Connect Course Spotlight
VADSTI Data Science Training Program
- Course Directors:
- Toufeeq Syed, PhD
- John Kwagyan, PhD
- Level: No prerequisites for research knowledge topics. A basic undergraduate knowledge of algebra and probability is recommended for content knowledge topics.
- Format: Modular, asynchronous,
self-paced - Total Modules: 9
Overview: This training series introduces foundational data science concepts, Python programming, and core analytic methods used in clinical, biomedical, and genomic research. Participants gain hands-on experience with statistics, data exploration, visualization, and predictive analytics through recorded lectures and assignments from Howard University’s Virtual Applied Data Science Training Institute.
AIM-AHEAD Events
Webinar
Jan 22, 2026
AIM-AHEAD Communications Hub "Get Connected" Office Hours (January Session #2)
Webinar
Jan 22, 2026
AI Optimization Subcore Discussion Forum: From Code to Care – Navigating Governance Paradoxes in Clinical AI
AIM-AHEAD News
Jan 16, 2026
AIM-AHEAD Announces Year 4 Program Awardees and Fellows
Find out more about AIM-AHEAD Year 4 Programs and their Awardees and Fellows, along with each individual’s institutional and AIM-AHEAD.. Continue reading
Dec 17, 2025
AIM-AHEAD DICB Awardee Launches aiMATCH Leukemia Patient Outcome Prediction Data Challenge
The aiMATCH team is preparing to launch the new Leukemia Patient Outcome Prediction Challenge in partnership with AIM-AHEAD, The University.. Continue reading
Dec 12, 2025
Applications Now Open for the AIM-AHEAD FHIR Collaborative Training Program
Find out more about the Call for Applications for the latest AIM-AHEAD Training Program... Continue reading
Subscribe to our Newsletter
Stay up to date with our initiatives and funding opportunities.
What isAIM-AHEAD?
The National Institutes of Health’s AIM-AHEAD program was established to create mutually beneficial and coordinated partnerships to empower researchers and communities across the United States in the development of AI/ML models and enhance the capabilities of this emerging technology, beginning with electronic health record (EHR) data. Read More
**Please note that, consistent with NIH practice and applicable law, funded programs may not use the race, ethnicity, or sex of prospective program participants or faculty as an eligibility or selection criteria. The race, ethnicity, or sex of candidates will not be considered by AIM-AHEAD in the application review process or when making funding decisions.**
4,522
Total Members
1,336
Institutions
1,199
Mentors
2,572
Mentees