Mayumi Ohta obtained her Bachelor's and Master's degree in Computational Linguistics at Heidelberg University. Her Master thesis "Sparse Perturbations for Improved Convergence in SZO Optimization" received a distinction and also a special mention in the best paper award of the 6th International Conference on Machine Learning, Optimization, and Data Science (LOD). After her graduation, she gathered professional experience both in industry and academia in the field of Natural Language Processing.
Since 2022 she has been a PhD candidate at Heidelberg University. Her current research interests lie in Privacy-Preserving Machine Learning with a special focus on the applications to Machine Translation and Speech Recognition. As a research scientist, she is involved in various projects at the Innovation System Data Excellence Center (ISDEC), Fraunhofer Institute in Karlsruhe.