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I have a broad interest in machine learning (ML). My current research aims at creating and understanding intelligent machines that can learn via both observation and experimentation. Check out my publication and research pages for more information.


Welcome

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. I graduated summa cum laude with a PhD degree specializing in kernel methods in machine learning. My PhD advisor was Prof. Bernhard Schölkopf. I also obtained a master’s degree with distinction in machine learning from University College London (UCL), United Kingdom. At UCL, I worked primarily in the Gatsby Unit with Prof. Yee Whye Teh.

My research interest lies in the area known as "machine learning". I am particularly interested in, for example, statistical learning theory, kernel methods, causal inference, counterfactual prediction, and algorithmic game theory. 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 am indebted to all my students and collaborators for our exciting collaborations. I always seek new collaboration, so I will be glad to hear from you.