Predictive Dashboards, Apps & Software Tools

I build specialized software tools that translate complex psychological and linguistic science into accessible, user-centric applications.

Predictive Analytics Portal

A three-phase statistical dashboard for predicting outcomes and evaluating risk. Designed to be installed directly onto your organization’s own secure servers.

An interactive demonstration of a complete predictive dashboard. This portal illustrates how an organization can securely use its own historical data to automatically calculate customized statistical models (Phase 1), seamlessly apply those models to calculate probabilities for new cases (Phase 2), and track real-time progress (Phase 3 - In Progress), all while maintaining strict data privacy.

This portal demonstrates the complete workflow for securely generating and deploying customized statistical models across diverse domains.

  • Phase 1: Upload historical data to calculate the exact mathematical coefficients needed to predict the probability of success based on your organization’s unique patterns.
  • Phase 2: Apply the models generated in Phase 1 to new, incoming data to calculate accurate risk probabilities and expected trajectories.
  • Phase 3 (In Progress): A live interactive dashboard for visualizing real-time progress and expected outcomes.

Crucially, this dashboard is designed to operate strictly within your organization’s local servers. All computations are decoupled, ensuring deterministic reproducibility and zero risk of HIPAA violations or external data breaches. No proprietary data is ever transferred.

Psychotherapy Outcome Prediction Dashboard

A clinical predictive dashboard for treatment success. Designed to be downloaded and installed directly onto your organization’s own secure servers.

An interactive demonstration of a clinical predictive dashboard. It simulates how a clinic can securely upload historical EMR data to automatically calculate and configure independent, session-by-session clinical models. This allows health systems to predict patient success and identify dropout risks using their own proprietary data.

This application demonstrates the business-to-business (B2B) integration workflow for an interactive clinical predictive dashboard. Crucially, the final production application is designed to be downloaded and live entirely on your organization’s local servers. Because it operates strictly within your firewall, there is zero risk of HIPAA violations or external data breaches. The interactive dashboard accessed via the link below runs entirely in your browser to ensure complete data privacy—no patient data or proprietary model coefficients are transferred.

Empirical Predictive Dashboards

Interactive Longitudinal Statistical Dashboards.

Clinical-grade statistical modeling designed to evaluate exactly how and for whom your intervention works—whether a physical product, nutritional supplement, or digital therapeutic. Developed with strict adherence to data privacy, utilizing robust longitudinal mixed-effects models to ensure accurate, audit-ready estimations and standard errors.

The statistical methodology underlying this dashboard utilizes longitudinal mixed-effects modeling to account for the variability inherent in real-world consumer data. By comparing periods when the intervention was used against periods when it was not used, the models provide robust estimates of your intervention’s effects while controlling for natural within-subject variance. All statistical computations are strictly decoupled, ensuring complete HIPAA-compliant data privacy and deterministic reproducibility.

PQM: Practice Quality Mindfulness Tracker

Precision measurement for meditation practice.

Most meditation apps just track how many minutes you sit. The PQM app helps you understand the quality of your practice by focusing on two core skills: Perseverance and Receptivity. By also keeping an eye on your mood, you’ll get a better sense of how your sessions might be supporting you in your daily life.

Built directly on the validated Practice Quality-Mindfulness (PQM) scale published in Del Re et al. (2013). It measures Receptivity (how open you are to physical and mental sensations without judging them) and Perseverance (how well you gently return your focus to your anchor when your mind wanders).

Compute.ES: Compute Effect Sizes

Professional Effect Size Calculator.

A privacy-first web app for calculating and visualizing meta-analysis effect sizes (\(d\), \(g\), \(r\), \(OR\)). Features batch CSV processing and interactive distributions.

This tool leverages the compute.es R package to compute the most ubiquitous effect sizes in clinical research. Below are a select few of the derivations utilized within the dashboard:

Effect Size from Means & SDs (MES) \[ d = \frac{M_1 - M_2}{S_{within}} \] \[ S_{within} = \sqrt{\frac{(n_1 - 1)S_1^2 + (n_2 - 1)S_2^2}{n_1 + n_2 - 2}} \] \[ var(d) = \frac{n_1 + n_2}{n_1 n_2} + \frac{d^2}{2(n_1 + n_2)} \]

Effect Size from T-Test (TES) \[ d = t \sqrt{\frac{n_1 + n_2}{n_1 n_2}} \] \[ var(d) = \frac{n_1 + n_2}{n_1 n_2} + \frac{d^2}{2(n_1 + n_2)} \]

Effect Size from P-Value (PES) \[ d = t_{inv}(1 - p/2, df) \sqrt{\frac{n_1 + n_2}{n_1 n_2}} \] \[ df = n_1 + n_2 - 2 \]

Stanford C-Score (Ranking Tool)

Are you in the Top 1% of Scientists?

A live calculator that scrapes Google Scholar to compute your Composite Score (C-Score) based on the Ioannidis/Stanford methodology. Check your global ranking status instantly.

Veloz: Language Learning via Language Islands

A scientifically-grounded language acquisition tool.

Veloz uses the “Shadow Loop” method—an audio-lingual technique focused on rapid repetition and phonological loop activation—to help users internalize new languages naturally.

Interactive Slang Explorer

Master real, authentic street Spanish.

A highly visual, interactive guide to the slang, idioms, and street-level expressions they don’t teach you in a textbook. Dive into regional humor, cultural context, and conversational nuances. Test your fluency and begin mastering the authentic Spanish you’ll actually hear on the streets.

R Packages (CRAN)

I have developed and maintain several open-source R packages that serve as foundational tools for the meta-analysis and statistical community.

compute.es

The Gold Standard for Effect Size Calculation

When precision matters, compute.es is the tool researchers trust. It effortlessly converts between dozens of effect size metrics (\(d\), \(g\), \(r\), \(z\), \(OR\)), ensuring your meta-analysis is built on bedrock data.

  • Impact: Cited in 372 studies on Google Scholar.
  • Reach: 269,947 total downloads.

View on CRAN

MAd

Taming Heterogeneity (Mean Differences)

Meta-analyses are messy. MAd brings order to the chaos of dependent effect sizes. It provides robust aggregation methods that allow you to squeeze every ounce of power from multi-outcome studies without violating statistical assumptions.

  • Impact: Cited in 182 studies.
  • Reach: 107,388 total downloads.

View on CRAN

MAc

Correlational Precision

Correlations are not just numbers; they are relationships. MAc specializes in the meta-analysis of correlation coefficients, handling the complex dependencies that standard packages ignore.

  • Impact: Cited in 74 studies.
  • Reach: 51,825 total downloads.

View on CRAN

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