Research
My research program centers on sport-related concussion and its prolonged consequences in physically active populations, with an emphasis on translating evidence into actionable clinical practice.
Current Projects
Bayesian Meta-Analysis: Physical Activity Interventions for PPCS
Active · 2025–2026
A systematic review and Bayesian hierarchical meta-analysis examining the efficacy of structured exercise protocols — particularly sub-symptom threshold aerobic exercise — on symptom severity and functional recovery in adolescents and young adults with persistent post-concussion symptoms (PPCS, ≥28 days post-injury).
Methods: PRISMA-compliant systematic search · Hedges’ g effect sizes · brms / Stan Bayesian random-effects model · ggdist visualization
Analysis platform: guanglab.org/labs/ · RStudio Server · Oracle Cloud ARM
PPCS Pilot Study: Multimodal Clinical Assessment
Planned · 2027
A prospective pilot study developing and validating a multimodal clinical assessment battery for PPCS in adolescent athletes. Assessments include oculomotor tracking, speech-motor performance (Pataka diadochokinesis), and standardized symptom inventories.
Methods: Eye-tracking · Pataka paradigm · Repeated-measures design · Mixed-effects modelling
Methods & Infrastructure
I maintain a self-hosted research computing environment at guanglab.org for reproducible Bayesian analysis:
| Tool | Purpose |
|---|---|
| R / brms / Stan | Bayesian meta-analysis |
| RStudio Server | Cloud-based analysis environment |
| ASReview | AI-assisted literature screening |
| Zotero | Reference management |
| Quarto | Reproducible reporting & this website |
All analysis code and outputs for published work are made publicly available to support open science practices.