In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...

Research areas: Statistics, Machine learning, Bayesian nonparametric models, Fairness in machine learning and statistics, Reinforcement learning, Causal Inference, Conformal Inference. Bayesian ...

Decisions based on evidence accumulated over time require rules governing when to end the accumulation process and commit to a choice. These rules control inherent trade-offs between decision speed ...