Projects

Seven lines of work, each with its own page: what the question is, what has been settled, and what is still open. Papers are listed under the project they belong to.

AI, LLMs, and Economic Decision Making

Making language-model output usable as economic analysis: every number traceable to a model, every claim traceable to a source.

  • LLM agents
  • RAG
  • knowledge graphs
  • AI-ready data

Adaptive Experimental Design

Designing experiments that use what they have already learned — to estimate an effect precisely, or to choose the right policy, with fewer units.

  • adaptive experiments
  • semiparametric efficiency
  • policy learning
  • ATE

Best-Arm Identification and Treatment Choice

Finding the best option under a fixed budget of trials — and pinning down the exact limits of how well that can be done.

  • best-arm identification
  • fixed budget
  • minimax optimality
  • bandits

Debiased Machine Learning and Riesz Regression

Machine learning estimates of causal and structural parameters are biased by their own regularization. This project is about the correction term — how to estimate it, and what estimating it well buys you.

  • debiased machine learning
  • Riesz representer
  • Neyman orthogonality
  • semiparametrics

Causal Inference and Off-Policy Evaluation

Estimating what an intervention does — under missing treatment labels, distribution shift between the study and the target population, or a single treated unit.

  • causal inference
  • off-policy evaluation
  • external validity
  • synthetic control

Density Ratio Estimation, Weak Supervision, and Anomaly Detection

One object — the ratio of two densities — underlies covariate shift correction, learning from positive and unlabeled data, and detecting anomalies without anomaly examples.

  • density ratio estimation
  • PU learning
  • anomaly detection
  • Bregman divergence

Portfolio Optimization and Financial Engineering

Bringing prediction uncertainty, rather than point forecasts, into investment decisions — and applying statistical machinery to problems in financial practice.

  • portfolio selection
  • conformal prediction
  • reinforcement learning
  • financial engineering

Software