Consulting Services & Expertise

From Analytic Strategy to Automated Intelligence

I provide high-level statistical consulting and data solutions. My work bridges the gap between academic rigor (ensuring your methods are peer-review ready) and commercial speed (automating workflows to save time).

Advanced Statistical Modeling & Real-World Evidence (RWE)

I provide deep expertise in Hierarchical Linear Modeling (HLM), Longitudinal Analysis, and Mixed-Effects Models. By utilizing advanced frameworks such as generalized linear mixed models (GLMM) and Causal Inference techniques (like Propensity Score Matching), I help clients extract within-user causal signals from messy, unstructured datasets to build robust Real-World Evidence (RWE) engines.

Automated Data Intelligence & Reporting Pipelines

Manual reporting using Excel or PowerPoint is prone to human error and inefficiency. I architect fully automated, reproducible pipelines using R Markdown and Quarto. These pipelines integrate complex statistical code, raw data ingestion, and publication-ready visualizations (ggplot2) to generate audit-ready HTML/PDF reports in seconds.

Meta-Analysis & Evidence Synthesis

With over 70 peer-reviewed publications and deep methodological expertise, I conduct rigorous random-effects, multi-level, network, and longitudinal meta-analyses. I synthesize extensive clinical literature into definitive evidence, often utilized to address complex reviewer critiques or establish new standards of care in psychology and medicine.

Psychometrics & Clinical Scale Development

Validating a new psychological or medical instrument requires absolute precision. I conduct comprehensive scale development workflows, including reliability and validity assessments, Confirmatory Factor Analysis (CFA), Exploratory Factor Analysis (EFA), and structural Path Analysis to ensure your metrics meet rigorous peer-review standards.

Algorithm & App Development

Beyond static reports, I engineer dynamic, zero-latency Predictive Statistical Dashboards, Custom R Packages, and R Shiny Web Applications. This allows non-technical stakeholders to interact with complex cognitive algorithms and statistical engines seamlessly, integrating state-of-the-art predictive analytics directly into your product stack.

For Industry & Enterprise

Focus: Scalability, Automation, and Product Validation.

Automated Data Intelligence: Building R/Quarto pipelines to replace manual reporting with audit-ready HTML/PDF data reports.
Algorithm Design: Creating proprietary scoring engines and predictive algorithms for health apps and EHR systems.
Product Efficacy (RWE): Designing N-of-1 and Longitudinal Cohort studies to prove product claims with real-world evidence.
Data Visualization: Creating compelling, publication-ready visualizations using ggplot2 to communicate complex insights to stakeholders.

For Academic Researchers & PIs

Focus: Methodological Rigor, Grant Funding, and Publication.

Federal Grant Support (NIH/VA/DoD): Lead Statistician for grant applications. I provide robust power analyses, sample size calculations (Simulation-based), and analytic plans that survive peer review.
Manuscript Elevation: Using advanced stats (e.g., (G)LMMs, Network Meta-Analysis, Poisson/Negative Binomial Regression) to target higher-impact journals.
“Rescue” Analysis: Addressing complex reviewer critiques, fixing data issues, or re-analyzing rejected manuscripts to get them published.
Dissertation & Project Consulting: Helping researchers design robust studies from day one, avoiding common methodological pitfalls.

Ready to upgrade your analysis?

Contact me to discuss your project or view my Portfolio to see these methods in action.