Angelika Rohde

Prof. Dr. Angelika Rohde is a Full Professor for Mathematical Stochastics at the Albert-Ludwigs-University Freiburg, where she has been since 2016. Her research focuses on Mathematical Statistics and Probability Theory, with current projects supported by the DFG (e.g., SFB 1597 'Small Data' and FOR 5381 'Mathematical Statistics in the Information Age').

• Education: Binational Ph.D. (2006) from University of Heidelberg and University of Bern; Diploma in Mathematics (2003) from University of Heidelberg.

Rohde’s work addresses adaptive uncertainty quantification, nonparametric statistical inference, and phase transitions in stochastic processes. She has developed methods for high-dimensional data, empirical processes, and random matrices, with applications in classification and differential privacy.

Her recent publications focus on bootstrap techniques for high-dimensional covariance matrices, Edgeworth expansions, and adaptive similarity testing. She actively supervises PhD students like Gabriele Bellerino, Sebastian Hahn, and Dario Kieffer, with former students Pascal Beckedorf and Johannes Brutsche now as research assistants.

Grants include leadership roles in DFG projects SFB 1597 and FOR 5381, emphasizing small data and high-dimensional statistics. Her team collaborates on problems like support recovery and classification under privacy constraints.