Programme Thesis
This NIH T32 programme funds institutional training programs that prepare predoctoral and postdoctoral researchers for careers in translational research on Alzheimer's disease and AD-related dementias. It exists to build a diverse, skilled workforce capable of translating basic science discoveries into clinical applications for AD/ADRD, with a strong emphasis on interdisciplinary training and mentorship.
Selection Criteria
Eligibility: Applicant institution must be a US-based entity (e.g., university, medical school) with existing research strengths in AD/ADRD; individual trainees must be US citizens, permanent residents, or non-citizen nationals (unless the programme explicitly allows foreign nationals, which is rare for T32). Scoring rubric: 1) Training Program Leadership and Environment (30%) – quality of PD/PI, institutional commitment, facilities; 2) Faculty and Mentors (20%) – expertise, track record, mentoring plan; 3) Training Plan and Curriculum (25%) – didactic coursework, research rotations, career development; 4) Trainee Recruitment and Selection (15%) – diversity, pipeline, criteria; 5) Evaluation and Trainee Outcomes (10%) – metrics, tracking, success of past trainees. Reviewer priorities: interdisciplinary approach, translational focus, strong mentorship team, institutional resources, diversity of trainees, and clear path to independence.
Past Winners / Cohort Profiles
Past T32 cohorts typically include US-based predoctoral students (PhD or MD/PhD) and postdoctoral fellows at major research universities (e.g., Johns Hopkins, UCSF, Harvard, Washington University). Trainees often have backgrounds in neuroscience, pharmacology, genetics, or computational biology, with a focus on AD/ADRD. Named examples are not available on the page, but archetypes include a PhD student studying tau pathology using iPSC models, or a postdoc developing biomarkers for early detection of Alzheimer's.
Ideal Candidate Fingerprint
The platonic ideal applicant is a US citizen or permanent resident enrolled in or accepted to a PhD or postdoctoral program at a US institution with strong AD/ADRD research. They have prior research experience in a relevant field (e.g., neuroscience, pharmacology, computational biology), a publication record, and a clear interest in translational AD/ADRD research. They are early-career (predoc or early postdoc) and demonstrate potential for independence.
Recommended Framing
Eniola should frame his CCT model as a novel computational framework for understanding memory consolidation that can be directly applied to Alzheimer's disease, where aberrant memory processes (e.g., amyloid-beta-induced synaptic dysfunction) are central. He should emphasize his expertise in pharmacological modeling, Bayesian statistics, and computational neuroscience as transferable skills for AD/ADRD research, and propose a collaboration with a US-based mentor (e.g., Kent Berridge at Michigan or Samuel Gershman at Harvard) to meet the institutional requirement. His independent research record and preprints demonstrate initiative and productivity, which are strong assets for a T32 trainee.
Watch Out
Eligibility: T32 programmes typically require trainees to be US citizens, permanent residents, or non-citizen nationals; Eniola is a Nigerian national without US residency, making him ineligible unless the specific T32 programme explicitly allows foreign nationals (rare). Additionally, he is not currently enrolled in a US-based PhD or postdoctoral program, which is a prerequisite. He would need to secure admission to a US PhD program and find a T32 that accepts foreign nationals, or target alternative NIH mechanisms (e.g., F31 for foreign nationals, or D43 training grants for LMIC).