Works

Works

From concept to launch — projects that helped startups grow, scale, and succeed.

FGOE Pro: Decoupling NFL Kicker Skill from Situational Variance using Amortized Variational Inference

A Bayesian state-space modeling framework that evaluates NFL kicker performance by calculating Field Goal Over Expected (FGOE) to decouple environmental difficulty from skill degradation.

Machine Learning

Python

FGOE Pro: Decoupling NFL Kicker Skill from Situational Variance using Amortized Variational Inference

A Bayesian state-space modeling framework that evaluates NFL kicker performance by calculating Field Goal Over Expected (FGOE) to decouple environmental difficulty from skill degradation.

Machine Learning

Python

Boom! Using Explosive Plays to Predict the Next Breakout Running Back

An award-winning sports analytics stacked-ensemble ML architecture that processes spatiotemporal data to predict breakout NFL running plays.

Machine Learning

Python

Boom! Using Explosive Plays to Predict the Next Breakout Running Back

An award-winning sports analytics stacked-ensemble ML architecture that processes spatiotemporal data to predict breakout NFL running plays.

Machine Learning

Python

Regional variation in the acceptance of insurance by mental health professionals: Evidence from MEPS

An econometric research study leveraging national health databases (MEPS/AHRF) to map regional disparities in mental health provider insurance acceptance.

Machine Learning

Regional variation in the acceptance of insurance by mental health professionals: Evidence from MEPS

An econometric research study leveraging national health databases (MEPS/AHRF) to map regional disparities in mental health provider insurance acceptance.

Machine Learning

A Multi-Modal Evaluation of Chemistry Unbound using IRT and Sentiment Analysis

An award-winning NLP and Rasch IRT psychometric pipeline that evaluates student feedback and curriculum performance for university chemistry courses.

Machine Learning

Sentiment Analysis

A Multi-Modal Evaluation of Chemistry Unbound using IRT and Sentiment Analysis

An award-winning NLP and Rasch IRT psychometric pipeline that evaluates student feedback and curriculum performance for university chemistry courses.

Machine Learning

Sentiment Analysis

Perceptions and Needs for a Technology-Based Dyadic Intervention on Symptom Management Among Patients With Colorectal Cancer and Their Caregivers: A Qualitative Study

A published qualitative clinical study utilizing Dedoose coding to inform the design of web-based symptom management tools for cancer patients and caregivers.

Fullstack

Perceptions and Needs for a Technology-Based Dyadic Intervention on Symptom Management Among Patients With Colorectal Cancer and Their Caregivers: A Qualitative Study

A published qualitative clinical study utilizing Dedoose coding to inform the design of web-based symptom management tools for cancer patients and caregivers.

Fullstack

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