Mission. My research revolves around interactive machine learning, aiming to enhance the accessibility and transparency of AI systems for human interaction. Additionally, I explore methods to incorporate human feedback into machine learning models, facilitating learning and adaptation driven by human input. Ultimately, I believe human interaction is an integral part of machine learning.

Open Thesis. I often have ideas for a possible thesis topic related to interactive machine learning. Basic knowledge of machine learning and deep learning, for example, through relevant lectures or projects, is required. It is also helpful to be familiar with Python and machine learning frameworks such as PyTorch. If you are interested in potential topics or have your own topic in mind, feel free to contact me and send me your information following our thesis proposal instructions.

Timeline.

2022 - now:	Ph.D. student at the Machine Learning Lab, CS Department, TU Darmstadt, Germany
2020:	Exchange student, computer science at Aarhus University, Denmark
2019 - 2022:	M.Sc. in computer science at TU Darmstadt, Germany
2016 - 2019:	B.Sc. in computer science at TU Darmstadt, Germany

Publications