Evidence-Based Data Science

Specializing in Epidemiology, Behavioral Health, and Health Services Research.

We transform complex health data into actionable clinical and policy insights.

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From Raw Data to Public Health Impact

R2ML connects disparate data sources to answer critical health and wellbeing questions. Whether it is modeling patient behaviors for a hospital system, analyzing epidemiological trends, or developing NLP pipelines for clinical notes, we bring academic rigor to industry challenges.

Core Competencies

Epidemiology & Research

Study design, surveillance system evaluation, and longitudinal data analysis for public health initiatives.

Mental & Behavioral Health

Predictive modeling for patient outcomes, CBT app development support, and neuropsychological assessment metrics (ANAM) analysis.

AI & Machine Learning

Natural Language Processing (NLP) for medical records, quantitative trading models, and custom Python-based AI agents.

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Selected Work

CookieJar AI

Behavioral health chatbot using CBT principles to manage dietary choices.

Health Cost Predictor

Chronic disease and healthcare cost prediction modeling (HHS Data Challenge).

Voting Comparator

Congressional Library data challenge submission.

Quant Trading

Algorithmic trading strategies using Python and ThinkScript.

Ready to Leverage Your Data?

We are currently accepting new consulting engagements for health systems and research institutes.

Or email us directly at info@r2ml.org