Johanna Düngler

About Me

I am a DDSA PhD Fellow in Machine Learning @ Copenhagen University in the Department of Computer Science, where I am advised by Amartya Sanyal and Rasmus Pagh. My research interest lie in theoretical foundations and guarantees of Machine Learning, particularly in relation to Privacy and Robustness.

Prior to my PhD, I completed my undergraduate education in Mathematics at ETH Zürich. After completing my Master's degree, I worked as a Data Scientist for 2 years at Revolut, developing Machine Learning Models for the Risk Department.

Teaching

• TA in Advanced Topics in Machine Learning, 2024, University of Copenhagen, Block 1.
• TA in Mathematics of Machine Learning, 2022, ETH, Spring Semester
• TA in Partial Differential Equations, 2020, ETH, Fall Semester