With over a decade of experience in behavioral and health data analytics, I deliver rigorous, decisive evidence that supports research, informs policy, and advances strategic goals across behavioral and health domains. My expertise in advanced statistical methods, including longitudinal modeling, interpretable machine learning, and psychometrics, is grounded in a commitment to transparency, precision, and practical relevance.
My Background
I am a professor at Colorado State University, specializing in behavior and health analytics. I hold a PhD in quantitative psychology from the University of California, Davis. I previously served as a senior research scientist at the University of Geneva, Switzerland, where I worked on projects related to aging, cognitive decline, and mental health.
Additionally, I have completed years of formal training in biopsychology, cognitive neuroscience, and foundational computer science.
My work has been published in leading journals and has been recognized internationally for advancing methods in behavioral epidemiology and risk prediction.
I bridge advanced analytics with practical decision-making in behavioral and health domains, providing clear, quantitative evidence to guide research, policy, and strategy.
Expertise
Technical
- Longitudinal & Survival Analysis
- Research Design & Power Analysis
- Survey Design & Validation
- Causal & Temporal (Dynamic) Modeling
- Interpretable Machine Learning (e.g., random forests)
- Multilevel & Structural Equation Modeling (SEM)
- Psychometrics & Measurement (e.g., factor analysis)
- Data Visualization
- Statistical Computing (R, Mplus, etc.)
- Comprehensive Web Integration (Python, SQL, HTML/CSS/JS)
Applied / Domain-Specific
- Behavioral Risk Profiling & Forecasting
- Cognitive & Behavioral Epidemiology
- Aging & Longevity
- Psychological Assessment
Learn more about my consulting services.