My name is Krikamol Muandet (ไกรกมล หมื่นเดช). I am currently a postdoctoral researcher at the Empirical Inference Department at Max Planck Institute for Intelligent Systems, Tübingen, Germany. My research interest lies in the area of machine learning and its applications. Topics of interest includes, for example, kernel methods, Bayesian nonparametric, large-scale learning, and causal inference. When I am not doing research, I like reading books and watching movies as well as doing outdoor sports like swimming, bouldering, climbing, and snowboarding.
Previously, I was a PhD student at the Empirical Inference Department at Max Planck Institute for Intelligent Systems, Tübingen, Germany where I have worked primarily with Prof. Bernhard Schölkopf. I previously obtained a master's degree with distinction in machine learning from University College London (UCL), United Kingdom. At UCL, I worked primarily with Dr. Yee Whye Teh. (M.Sc. thesis advisor) at the Gatsby Computational Neuroscience Unit and Prof. John Shawe-Taylor (M.Sc. Tutor) at the Center for Computational Statistics and Machine Learning. During my PhD, I was a visiting scholar at the Institute of Statistical Mathematics, Japan; Center for Cosmology and Particle Physics, New York University; Palomar Observatory in San Diego; American Museum of Natural History, and Institut für Stochastik und Anwendungen, University of Stuttgart, among others.
In 2011, it was a great honour for me to co-organize a Festschrift symposium together with my PhD advisor, Prof. Bernhard Schölkopf, to honor Prof. Vladimir Vapnik, on the occasion of his 75th birthday.
ContactMax Planck Institute for Intelligent Systems