Jilles is Tenured Faculty at the CISPA Helmholtz Center for Information Security, where he leads the Exploratory Data Analysis group. In addition, he is affiliated as Senior Researcher with the Database and Information Systems group of the Max Planck Institute for Informatics, as well as Professor at the Department of Computer Science of Saarland University.

His research is mainly concerned with exploratory data mining and interpretable machine learning. That is, developing theory and algorithms for summarising data in easily understandable terms. To identify what you need to know, i.e., what is the most interesting structure in the data, he often employs information theoretic methods. In particular, the principles of Minimum Description Length (MDL) and Maximum Entropy have proven to be highly valuable tools.

Currently he is investigating techniques for identifying informative local structures in large collections of complex data; how to efficiently mine good data descriptions directly such data; how to mine very large graphs, including characterising influence propagation in social networks; and, last but not least, how to determine cause and effect, i.e. causal inference and modelling.

Kailash Budhathoki is a PhD student, funded by a grant from IMPRS-CS, the International Max-Planck Research School for Computer Science. His research interests include how to discover assocations, correlations, and causation from data by means of algorithmic information theory.

Kailash obtained his Bachelor's degree in 2010 from Tribhuvan University, Nepal. In 2013 he joined Saarland University to pursue a Master of Science in Computer Science. He joined the EDA group in October 2014 as a Research Assistant. In 2015 he was awarded an honours degree for his thesis 'Correlation by Compression'.

Sebastian Dalleiger is a PhD student of the Saarbrücken Graduate School for Computer Science, funded by the CISPA Helmholtz Center for Information Security. In addition he is affiliated with the Department for Databases and Information Systems at the Max Planck Institute for Informatics. His research interests include data mining and machine learning, and in particular information theoretic approaches to extracting useful models form data.

Sebastian obtained his Bachelor of Science in Mathematics from the University of Marburg in 2012, and his Master of Science in Computer Science from Saarland University in 2015. He joined the EDA group as a PhD student in September 2017.

Jonas Fischer is a PhD student funded by the International Max Planck Research School for Computer Science (IMPRS-CS), as well as a student in the Saarbrücken Graduate School for Computer Science. He is working on algorithmic approaches to analyzing large quantities of complex data, such as influence propagation and epidemics reconstruction in large graphs.

Jonas obtained both his Bachelor of Science and his Master of Science in Bioinformatics from Saarland University, respectively in 2015 and 2017. He joined the EDA group in April 2016 for a Research Immersion lab, and started his PhD in 2017.

Janis Kalofolias is a PhD student of the Saarbrücken Graduate School for Computer Science, funded by the CISPA Helmholtz Center for Information Security. In addition he is affiliated with the Department for Databases and Information Systems at the Max Planck Institute for Informatics. His research interests include many things, ranging from optimistic estimators for subgroup discovery, kernel-based methods for measuring similarities between graphs, to information theoretic methods for subjectively interesting structure from complex data.

Janis obtained his Bachelor of Science in 2011 from the University of Patras, Greece. In 2012 he joined Saarland University to pursue a Master of Science in Computer Science, and was a Research Assistant at the Max Planck Institute for Informatics. He joined the EDA group as a PhD student in November 2016.

David Constantin Kaltenpoth is a PhD student funded by the CISPA Helmholtz Center for Information Security, member of the International Max Planck Research School for Computer Science, and a student of the Saarland University Graduate School of Computer Science. His research focus is on information theoretic approaches to causal inference.

David obtained his Master of Science in Mathematics from the Ludwigs-Maximilian Universität München in 2016. He joined the EDA group in June 2016 for a Research Immersion lab, and started his PhD in October 2017.

Panagiotis Mandros is a PhD student, funded by a grant from IMPRS-CS, the International Max-Planck Research School for Computer Science. His research interests include combining probabilistic and information theoretic methods to discover knowledge from complex data.

Panagiotis obtained his Bachelor of Science in 2012 from Aristotle University of Thessaloniki, Greece. In 2013 he joined Saarland University to pursue a Master of Science in Computer Science as an IMPRS-CS student. He joined the EDA group in October 2014 as a Research Assistant. In 2015 he was awarded an honours degree for his thesis 'Information-Theoretic Supervised Feature Selection for Continuous-Valued Data'.

Alexander Marx is a PhD student, funded by a grant from IMPRS-CS, the International Max-Planck Research School for Computer Science. He is broadly interested in data mining and machine learning, but specifically so in telling cause from effect, and discovering causal dependencies from data.

Alex studied Bioinformatics at Saarland University, obtaining his Bachelor of Science degree in 2014, and his Master of Science in 2016. He afterwards joined the EDA group in May 2016 to further study the algorithmic aspects of data analysis.

Osman Ali Mian is a PhD student in the EDA group. His research interests include causal inference, data mining, and machine learning.

Osman obtained his Bachelor's degree in 2015 from National University of Computer and Emerging Sciences (NUCES) in Karachi, Pakistan. In 2017 he joined Saarland University to pursue a Master of Science in Computer Science. He joined the EDA group in September 2018 as a Research Assistant, and finished his Master thesis titled 'Causal Discovery using MDL-based Regression' in July 2019.

Boris is a PhD student in the EDA group, working on the topic of process mining at Dillinger Hütte. Previously, he did both his Bachelor and Master of Science in Computer Science at Saarland University.

Corinna Coupette is a student in the Saarbrücken Graduate School for Computer Science. In addition, she is a research associate of the Max Planck Institute for Informatics, the Max Planck Institute for Comparative and International Private Law, and the Max Planck Institute for Tax Law and Public Finance. She holds a B.Sc. in Computer Science from the Ludwigs-Maximillian-University in Munich, as well as a Ph.D. in law from the Bucerius Law School in Hamburg. She is a research assistant in the EDA group, working on the topic of graph similarity assessment.

Joscha Cueppers studies Computer Science at Saarland University. He did his Master thesis within the EDA group on the topic of discovering causal patterns in event sequences. He is currently a Research Assistant, working to develop the results from his thesis further.

Edith Heiter is a student in the Saarbrücken Graduate School for Computer Science. She is working on her Master thesis within the EDA group, working on the topic of discovering informative embeddings for sequential data.

Frauke Hinrichs is pursuing her Bachelor of Science in Informatics at Saarland University, and a Research Assistant in the EDA group. She recently finished her Bachelor thesis on the topic of joint summarisation of multiple sequence databases.

Frauke joined the EDA group in April 2016.

Anna Oláh studies Computer Science and Mathematics at Saarland University, holding a scholarship from the International Max PLanck Research School on Computer Science. She is a Research Assistant within the EDA group, working on the topic of counter-factual explanations in data mining.

Sandra Sukarieh studies Computer Science at Saarland University. She is currently both a Research Assistant, working on the topic of anomaly detection in structured data, as well as a Master Thesis Student, working on the topic of Review Fraud Detection.

Sascha Xiaguang Xu is currently pursuing a B.Sc. in Computer Science at Saarland University. His research interests including data mining, machine learning, and causal inference. He is a research assistant in the EDA group, working on the topic of causal inference in the bivariate case.