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 datadriven 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
• Heavytailed distributions, strong dependencies and extremes
• Randomly growing networks and the Internet

M. Langovoy
(2011). Algebraic polynomials and moments of stochastic integrals Statistics & Probability Letters, 81, (6), 627631

M. Langovoy, M. Habeck, B. Schölkopf
(2011). Adaptive nonparametric detection in cryoelectron microscopy 6 pages, 58th World Statistics Congress of the International Statistical Institute (ISI 2011)

M. Langovoy, M. Habeck, B. Schölkopf
(2011). Spatial statistics, image analysis and percolation theory American Statistical Association, Alexandria, VA, USA, 11 pages, ISBN: 9780983937500, 2011 Joint Statistical Meetings (JSM)

M. Langovoy, M. Habeck, B. Schölkopf
(2011). Statistical Image Analysis and Percolation Theory Max Planck Institute for Biological Cybernetics, 2011 Joint Statistical Meetings (JSM)

M. Langovoy, S. Sra
(2011). Statistical estimation for optimization problems on graphs Empirical Inference Symposium