| Examples of Individualized Scholar Development Plans |
|---|
| Educational Background |
Example 1: PhD, Asst. Prof. Infectious Diseases (basic and translational interest) |
Example 2: PhD, currently TL1 post-doctoral training grant through CTSA (epidemiology and population interest) |
Example 3: MD, Asst. Prof. of Cardiology (epidemiology and health services interest) |
| Mentored Research Project |
CMV-specific T cells in HIV+ persons with cardiovascular disease |
Alcohol, smoking, depression, and the risk of CVD among HIV+ veterans |
Disparities in cardiovascular preventive care among HIV+ persons |
| Didactic Learning |
- Machine learning for Biomedicine BMIF 7330
- Mircrobe-Host Interactions: Special Topics in HIV/AIDS Research M&IM 8352
|
- Clinical Trials
- Longitudinal analysis coursework
- Genetics, genomics, molecular medicine, and microbiome
|
- MSCI completion with emphasis on biostatistics and epidemiology
- Program Policy and Evaluation PUBH 5538
- Methods Module: step-wedge trial design EPID 8332
|
| Experiential Learning |
- Tetramer sorting of CMV-specific T cells
- Single T cell plating for paired α/ß T cell receptor (TRC) sequencing and RNAseq
- Analytic skills integrating multiparametric T cell data
- Travel rotation to observe alternative single-cell sequencing strategies
|
- Analytic skills using time to event analysis and time updated covariates
- Collect feasibility data on substance-using patients on Vanderbilt Tobacco Treatment service
|
- Analytic skills in Medicare and multi-site HIV cohort (e.g., NA-ACCORD) data
- Management of large data structure including logical cleaning
- ICD coding criteria for selection outcomes and linking patients across years
|
| Intended Direction |
- Improved understanding of the T cell subsets inflated in the CMV response
- Implications of chronic T cell activation, including CMV-specific, for cardiovascular disease in HIV+ persons
|
- Understand the impact of substance use and mental health comorbidity on CVD and mortality outcomes in HIV+ people
- Assessing the impact of alcohol, smoking, and depression on gut microbiome
|
- Identify racial, gender, age, socioeconomic, and other factors associated with sub-optimal screening, treatment, and effective control of cardiovascular disease risk in HIV+ persons
- Identify priority areas for improving cardiovascular care in the HIV population
|
| Potential K Submission |
- CMV-specific T cells and the risk of prevalent and incident cardiovascular events in a cohort of HIV+ and HIV- Veterans
|
- Smoking, alcohol, depression, the microbiome, and the risk of CVD: Examining underlying mechanism and pilot intervention study
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- Step wedge clinical trial of intervention to improve cardiovascular care and specialist referral in HIV+ persons
|