People often solve simple arithmetic problems, such as basic addition, subtraction, multiplication or division, in their ...

Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

Paper: "Robust Nonparametric Bias-Corrected Inference in the Regression Discontinuity Design", (joint work with Sebastian Calonico and Rocio Titiunik).

Strategic investment facilitates collaboration on next-generation AI infrastructure optimized for memory-intensive ...