Mission.
Currently, I am looking into various aspects of machine learning (ML) on time series. A time series would be, for example, the amount of energy generated by a solar panel measured each minute for the span of a week. Similar types of data arise in various applications, like finance, industrial manufacturing, healthcare, robotics, climate science, etc. Common questions I am trying to answer there include:

• "What is going to happen next?" (forecasting),
• "What is happening at minute 00:05?" (summarization, question answering), or
• "What broad type of event do we see?" (classification).

My research interests span other topics in machine learning as well, including tractable probabilistic models (TPMs) like normalizing flows and probabilistic circuits. I am also interested in graph neural networks (GNNs), eventually combining them with interactive learning and causal reasoning. I am guided by the quest to advance them both as fundamental building blocks of machine learning as well as their applicability to time series.

Student Projects & Theses - Bachelor and Master.
I currently do not have the capacity for more theses and projects.

Timeline.

2022 - now:	Ph.D. student at the AIML Lab / CAUSE Lab, CS Department, TU Darmstadt, Germany
2019 - 2022:	M.Sc. in computer science at TU Darmstadt, Germany
2016 - 2019:	B.Sc. in computer science at TU Darmstadt, Germany

Previous publications and theses.