Ming-Hung Kaos primary research interest is in the design of experiments. Motivated by real-world applications, he has been developing insightful statistical theory and efficient computational methods for identifying optimal experimental designs that allow experimenters to collect the most informative data at minimum cost to make precise and valid statistical inference. His current research focus is on the development of high-quality designs for functional neuroimaging experiments where pioneering brain mapping technologies are utilized to improve knowledge about the inner workings of the human brain.
