K. Schindlerova is a senior scientist in the Data Mining and Machine Learning research group at the Faculty of Computer Science, University of Vienna. Her expertise spans machine learning methods and causal inference, with a particular focus on temporal data. Schindlerova is the first or second author of more than 90 publications, primarily on causal inference and causal discovery, applied machine learning, and artificial neural networks. Her recent contribution includes introducing statistical compression schemes into Granger causal models to enable more efficient inference. Her research also extends to applications of machine learning and causal inference in medicine (psychiatry and neurology) and physics (climatology and meteorology).

Schindlerova serves as a reviewer and program committee member for leading international conferences in machine learning, including ECML/PKDD, ECAI, ESANN, AAAI, ACM SIGSPATIAL, and NeurIPS, as well as for journals such as JRSSA, RSTA, Scientific Reports, and other international journals in computer science and statistics.

Katerina Schindlerova, why did you join the research network?

I have been already actively involved in data science initiatives at our university and  would like to explore potential collaborations with the platform members.

How does your research or work relate to Data Science?

Working in the research group on Data Mining and Machine Learning, my focus on the development of new approaches for data-driven causal discovery and on general machine learning methods makes me a suitable candidate to become a member of our university’s Data Science platform.

How would you like to contribute to the community?

I teach a part of the course Data Mining for students of computer science or data science. I also supervise master students with the specialization of data science.  The data science platform enables a uniquely interdisciplinary form of collaboration, which I greatly appreciate.

Learn more about Katerina Schindlerova’s research:

https://dm.cs.univie.ac.at/team/person/56204/#info

https://scholar.google.com/citations?user=9Y5NtbgAAAAJ&hl=de&oi=ao

Recent publications:

https://www.sciencedirect.com/science/article/pii/S2772528625000573

https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11131120