Research
Two bodies of work: machine learning for public policy since 2017, and theoretical physics before that. Entries link the canonical artifact — DOI where one exists, arXiv otherwise.
Machine learning and public policy
Machine Learning as Performative Materialist Practice: Thirteen Theses on the Epistemology, Methodology, and Politics of Applied ML
Thirteen numbered theses on what the field optimizes, for whom, and what it refuses to count.
Toward Reducing Unproductive Container Moves: Predicting Service Requirements and Dwell Times
Two models over a container terminal's operational data, evaluated with temporal validation.
Designing AI for Prosecutorial Governance: Case Prioritization and Statutory Oversight in Mexico
Case triage and statutory oversight in a state prosecutor's office.
Primetime Satan: Fear-Based Media Exposure, Moral Panic, and Electoral Behavior
Fear-based media exposure and its effect on electoral behavior.
Physics