Short Bio

Dr. Keng-Te Liao is an Assistant Professor in the Institue of Statistics and Data Science at National Tsing Hua University. Before that, he received his Ph.D. in Computer Science from National Taiwan University and worked as a Senior Data Scientist at Appier. His research focuses on causal and probabilistic machine learning.

Prospective Projects

• Robust and reliable deep neural networks informed by causal principles
• A novel theoretical framework for machine learning–based treatment effect estimation
• Large language model–driven prediction pipelines for causal analysis
• Bayesian neural networks for uncertainty quantification