Science is a collaborative process, requiring lots of hands and minds. Our research uses a variety of tools, including behavioral and online data collection, immersive and desktop virtual reality, functional and structural neuroimaging, and plasma biomarkers for measuring Alzheimer’s disease biomarkers.

PhD Students: Dr. Tran will not be accepting PhD applications for academic year 2027-2028.

Master Students: Students at Georgia Tech with a computational background in human-computer interface, digital media, virtual reality, app development or a strong interest in aging or neuroimaging should reach out. Preference will be given to students who have a strong programming experience (e.g., MATLAB, R, Python, JavaScript, C#) and/or a strong neuroimaging background. However, many students may not have this background. Please reach out to Dr. Tran directly at tammy [dot] tran [at] gatech [dot] edu.

Undergraduate Research Assistants: Undergraduate students should be committed to a minimum of 3 semesters in the lab. Tracks for undergraduate students are:

Neuropsychological Internship: Training in clinical neuropsychological testing for assessment and evaluation of cognitive performance in young adults and older adults. This track involves participant recruitment, learning how to perform and evaluate neuropsychological examinations to assess cognitive performance. Best for pre-meds and students interested in aging and clinical psychology.
Please note that this track is full as of Fall 2026.

Experimental data collection and neuroimaging: Training in experimental development, data collection and data analysis. This track involves gaining expertise in memory research with behavioral and immersive virtual reality data collection and neuroimaging data collection. Students with a strong computational background may assist in experimental development, app development and data analysis and work closely with a masters student or a PhD Student.
Please note that positions into this track depends on project availability.