Hello, I’m David!
I’m a data scientist and computational neuroscientist who loves solving complex problems at the intersection of science, technology, and human behavior. My journey has taken me from neuroscience research to building data solutions for pharmaceutical companies and fintech startups.
By day, I craft scalable RShiny applications, deploy machine learning models, and build data pipelines that transform raw information into actionable insights. I’m particularly passionate about Bayesian methods and their application to real-world challenges—whether that’s understanding customer behavior, detecting fraud, or modeling risk.
When I’m not immersed in code or data, you’ll find me advocating for open science, contributing to rOpenSci packages, or mentoring the next generation of data scientists. I believe in the power of data to drive positive change, and I’m always looking for opportunities to apply my skills toward meaningful impact.
What drives me
Building elegant solutions to messy problems
Applying Bayesian thinking to uncertain worlds
Architecting robust data infrastructure
Understanding the computational basis of behavior
Connecting ideas across disciplines
Finding balance between rigor and practicality
Beyond the data
Culinary explorer and home chef
Avid cyclist
Weekend surfer
Global traveler
Perpetual learner
Let’s connect and explore how we might collaborate on projects that matter!