CV | Research Statement | Github | Google Scholar | DBLP | ResearchGate | ORCID
My current research aims to develop machine learning techniques that will bridge the gap between randomized experiments and empirical inference. See publication for my recent work.
Hallo! My name is Krikamol Muandet (ไกรกมล หมื่นเดช). I am a research group leader affiliated with the Empirical Inference Department at Max Planck Institute for Intelligent Systems, Tübingen, Germany. From January 2016 to December 2017, I was a lecturer at the Department of Mathematics, Faculty of Science, Mahidol University in Thailand. My research interest lies in the area known as "machine learning". I am particularly interested in, for example, statistical learning theory, kernel methods, Bayesian nonparametric, large-scale learning, and counterfactual prediction. When I am not doing research, I enjoy reading books (on topics related to philosophy, psychology, history of science, etc) and watching movies. I also like outdoor sports such as bouldering, climbing, and snowboarding.
I always seek new collaboration, so I will be glad to hear from you.
Some updates here.