I am a Postdoctoral Fellow at the Department of Applied Mathematics and Statistics at Johns Hopkins University, mentored by Mauro Maggioni. Before that, I completed a Ph.D. in Mathematics at Technical University of Munich, advised by Felix Krahmer, in 2019. I also obtained M.Sc. and B.Sc. degrees in Mathematics from TU Munich in 2015 and 2013, respectively.
My research focuses in the design and analysis of optimization methods to solve problems in statistics, machine learning and signal processing. Among other things, I am interested in pushing the limits of non-convex optimization methods. In my research, I often use techniques from harmonic analysis, high-dimensional probability theory and numerical linear algebra.
My last name can also be written as Kuemmerle.