Tomas Masák
tomas.masak@epfl.ch +41 21 693 88 43 https://tmasak.github.io/
Citizenship: Czech
+41 21 693 88 43
EPFL
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SB
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SB-SMA
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SMA-ENS
Web site: Web site: https://sma.epfl.ch/
EPFL SB SMA-GE
CM 1 617 (Centre Midi)
Station 10
CH-1015 Lausanne
Web site: Web site: https://math.epfl.ch/
Research Interests
Functional Data Analysis - non-parametric estimation of covariance operators for space-time processes Computational Statistics - high-dimensional data, sparsity, iteratively reweighted least squares Compressed Sensing - low-rankness, matrix completion, robust principal component analysisEducation
PhD
Mathematical Statistics
EPFL
2018-
Master of Science
Probability, Mathematical Statistics and Econometrics
Charles University
2014-2017
Bachelor of Science
General Mathematics
Charles University
2011-2014
Teaching & PhD
Teaching
Mathematics