Researcher who's published in both neuroscience and population health. Happiest when I'm using cool data tricks to solve meaningful problems.
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Skills: Machine learning, Python, Anomaly detection
Read Time: 10 min
I walk through building a fraud detection model with random forests, showing how to tune parameters, evaluate performance, and factor in real business costs—demonstrating how data science and risk management come together for smarter fraud prevention.
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Skills: Python, R, Non-parametric statistics
Read Time: 10 min
We found that the brain is less sensitive to signals from the heart (a key dynamic for emotional processing) during highly energized states—an effect that was more pronounced for those high in anxiety. In this post, I walk through a really cool whole-brain analysis I used to uncover this effect.
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Skills: Time-series forecasting, Bayesian modeling, R, Python
Read Time: 10 min
In this project, I dig into how people’s perceptions of their community’s COVID-19 precautions—like mask-wearing and social distancing—can actually improve case forecasts. By blending survey data with classic infectious disease models, we built a powerful Bayesian forecasting tool that shows just how much human judgment can add to the equation.
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