SOUL: Hands-on Matlab App Development for Biomedical Applications
Undergraduate teaching connecting biomedical applications, app development, and scientific programming.
People
Trainees, alumni, and collaborators contribute to an interdisciplinary research ecosystem spanning computational neuroscience, biomedical data science, scientific software, neuroHIV, brain health, long COVID, and community-centered translational research.
Contributes to translational brain health, data science, and biomarker-focused analyses.
Works across computational phenotyping, neuroHIV, and translational data science projects.
Contributes to interdisciplinary biomedical research at the interface of pathology, neuroscience, and quantitative methods.
Contributes to biomedical engineering, software, and data science projects.
Former trainee working at the intersection of biomedical imaging, AI, and translational data science.
Former trainee whose work connected clinical neurology with translational brain health research.
Former master's advisee whose work connected computational and translational research workflows.
Former trainee pursuing graduate training in biostatistics and quantitative biomedical research.
Collaborates on NeuroHIV, cognitive phenotyping, cohort science, and translational brain health.
Collaborates on statistical modeling, biomedical data science, and Brain Health Program infrastructure.
Collaborates on biomarkers, neuroimmunology, and JH-CAHN translational infrastructure.
Collaborates on Long COVID, rehabilitation, clinical phenotyping, and translational brain health.
Collaborates on cognitive aging, HIV, and neuropsychological outcomes.
Collaborates on NeuroHIV, clinical cohorts, and neurological outcomes.
Collaborates on NeuroHIV, neurology, and cohort-based brain health research.
Collaborates on neuroimaging, cognitive decline, and translational neuroscience.
Collaborates on MWCCS/MACS-WIHS cohort science, HIV, aging, and women's health.
Collaborates on MWCCS/MACS-WIHS, sleep analytics, HIV, and cognitive outcomes.
Undergraduate teaching connecting biomedical applications, app development, and scientific programming.
Teaching foundation across computation, experimental design, and engineering practice.