Dr. Mikhail Langovoy is a Research Scientist at the Max Planck Institute for Intelligent Systems and at the Max Planck Institute for Developmental Biology in Tuebingen. He received his Master of Science degree in algebra and number theory from St Petersburg State University, Russia, in 2001, and a Ph. D. in statistics from the University of Goettingen, Germany, in 2007. After completing his thesis on data-driven tests of statistical hypothesis, he has been doing research on probability theory and stochastic analysis at the University of Bonn in Germany, and research on spatial statistics and image analisis at the European research institute EURANDOM in the Netherlands. At present, he is working in both stochastics and machine learning.

RESEARCH INTERESTS

•  Spatial statistics and statistical image analysis

•  Machine learning theory and support vector machines

•  Statistical inverse problems and their applications

•  Statistics for stochastic processes, nonparametric statistics

•  Randomized algorithms

•  Stochastic analysis

•  Econometrics and financial statistics

•  Heavy-tailed distributions, strong dependencies and extremes

•  Randomly growing networks and the Internet