Published several papers including 'Solving Inverse Problems With Deep Neural Networks - Robustness Included?' and 'Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images'. Presented at multiple international conferences and workshops.
Research Experience
Served as a Research Assistant at Technische Universität Berlin from May 2017 to March 2020; then as a Research and Teaching Assistant from April 2020 to September 2022. Also involved in teaching Analysis I and Linear Algebra (Summer 2022) and Analysis II (Winter 2021).
Education
Received a PhD from the Institute of Mathematics at Technische Universität Berlin in 2022.
Background
A machine learning researcher focusing on applied and computational mathematics and scientific machine learning, particularly in problems related to computer vision. Particularly interested in the accuracy and robustness of deep learning methods for inverse problems and the interpretability of deep learning classifier decisions.