I'm a behavioral neuroscientist and graduate student researching meta-analysis methodology and neurotrophic factors in Alzheimer's disease. I focus on improving scientific research through rigorous methodology and helping students master statistics and research design.
My doctoral work centers on conducting systematic reviews and meta-analyses of environmental enrichment interventions in preclinical models of Alzheimer's disease. I'm particularly interested in methodological issues affecting the reliability and validity of meta-analytic evidence, including publication bias, heterogeneity analysis, and the translation of findings from animal models to human applications.
Beyond research, I'm passionate about teaching statistics and research methods. I offer one-on-one tutoring for students struggling with hypothesis testing, effect sizes, power analysis, and meta-analysis interpretation. My goal is to help students develop genuine understanding rather than just passing their exams.
A comprehensive review of IGF2 as a neurotrophic therapeutic agent for Alzheimer's disease, examining its neuroprotective mechanisms, effects on cognition and neuroplasticity, and potential as a preventive and treatment intervention.
Systematic review and meta-analysis examining the effectiveness of environmental enrichment interventions across multiple cognitive and neurobiological outcome measures in preclinical models.
Comprehensive 50+ page curriculum for teaching research methodology, statistics, and critical evaluation of scientific literature to undergraduate and graduate students.
I offer one-on-one tutoring in statistics, research methods, and meta-analysis for undergraduate and graduate students. My approach focuses on building deep conceptual understanding rather than memorizing formulas. Learn more or book a session.