I build data pipelines, simulation models, and LLM-powered tools that turn hard research questions into defensible answers.
For about a decade I've led the engineering on research projects — owning the design and the technical vision, and building the app, model, or pipeline that answers the question.
Python, FastAPI, React/TypeScript, Databricks, and AWS. Built for rigor, reproducibility, and clarity.
Finds most U.S. mental health facilities serving children offer telehealth (77.5%), but availability varies widely by state and facility type, with gaps in telehealth medication management.
A practitioner guide to evidence-based strategies for supporting pregnant and expectant youth aging out of the foster care system.
Examines how advanced AI language models could supercharge PRC-driven disinformation and information-warfare campaigns in the Indo-Pacific.
Reports insights from a wargame examining sensing capabilities and allied contributions in great-power competition with Russia in the Arctic.
Finds telehealth availability among behavioral health facilities rose sharply in 2020–2021, yet large coverage gaps remained by January 2021.
Shows Medicare acceptance at SUD treatment facilities lagged other payment types from 2010–2021, reducing geographic access for older adults.
Maps treatment facilities across New York City and identifies workforce shortages and disparities in access to mental health services.
Uses geospatial analysis to provide an integrated assessment of Russian involvement across Africa and its implications for U.S. strategy.
Assesses Russia's employment of airpower in the Syrian civil war and the applicability of those lessons to future campaigns.
A seven-part series introducing the CAT-V tool, which integrates epidemiological case data with commercial air-travel statistics to model COVID-19 transmission risk across global flight routes.
Documents design and findings from a tabletop exercise on conducting air operations across combatant-command boundaries against transregional adversaries.
Reports the discovery of a Jupiter-analog exoplanet orbiting the Sun-like star HD 32963 via precision radial-velocity observations.
Reports six planetary candidates orbiting the nearby K-dwarf HD 219134, including five low-mass planets, via precision Doppler measurements.
Describes the on-sky performance of the Automated Planet Finder telescope after implementing a dynamic observation scheduler.
Presents autonomous, software-driven observing and radial-velocity exoplanet detection with the Automated Planet Finder telescope.
Describes the discovery of a Neptune-mass planet in a 38-day orbit around the nearby M-dwarf Gliese 687 via precision radial velocity.
Reports four planets orbiting the nearby K-type star HD 141399, including three inner giants and a Jupiter-like outer companion.
Presents the design and implementation of an autonomous data-flow pipeline for the Automated Planet Finder telescope.