Jilles is the leader of the Independent Research Group on Exploratory Data Analysis at the DFG Cluster of Excellence on Multimodal Computing and Interaction at Saarland University. In addition, he is affiliated as Senior Researcher with the Database and Information Systems group of the Max Planck Institute for Informatics.

His research is mainly concerned with exploratory data mining. 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.

Mario is a post-doctoral researcher affiliated with the Exploratory Data Analysis group, the Theory department at the Fritz-Haber Institute in Berlin, as well as with the Knowledge Discovery department of Frauenhofer IAIS in Sankt Augustin.

His research activities can be characterized, on the one hand, by the quest for a sound theoretical understanding of research questions, and, on the other hand, by the practical application of research results to real-world problems. Therefore, he continuously pursues the integration of theoretical insights into robust and reusable software artifacts.

He currently works on the Novel Material Discovery (NoMaD) project, where we use data mining techniques such as subgroup discovery and correlation analysis to discover knowledge on why materials have certain properties.

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. 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. His research interests include many things, including optimistic estimators for subgroup discovery, as well as 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 International Max Planck Research School for Computer Science, as well as 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.

Maha Aburahma is pursuing her Master of Science in Informatics at Saarland University, and a student within the Saarbrücken Graduate School on Computer Science. She is currently working on her Master thesis with the topic of information theoretic denoising.

Maha did her Bachelor degree in Egypt. She joined the EDA group in April 2017.

Simina is pursuing her Master of Science in Informatics at Saarland University. She is currently working on her Master thesis with the topic of structure functions and privacy.

Simina obtained her Bachelor of Science from the West University of Timisoara in Romania for her thesis `The experimental analysis of several approximation algorithms'. She started her Master studies in Saarbrücken in October 2015, and joined the EDA group in January 2017.

Iva Farag-Baykova is pursuing her Master of Science in Informatics at Saarland University. She is currently working on her Master thesis on the topic of efficient noise-resistant summarisation.

Iva obtained her Bachelor of Science in Informatics from Saarland University. She joined the EDA group in August 2016

Magnus Halbe is pursuing his Master of Science degree in Informatics at Saarland University. He is currently a Research Assistant working on effective and efficient summarisation of complex databases.

Magnus obtained his Bachelor of Science in Informatics from Saarland University in 2016 for his thesis 'Skim: Alternative Candidate Selections for Slim through Sketching'. He joined the EDA group in April 2016.

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.

Stephanie Lund is pursuing her Master of Science in Computational Linguistics at Saarland University. She is currently working on her Master thesis with the topic of unsupervised phoneme detection.

Stephanie obtained her Bachelor of Science in Computer Science and Linguistics at Northeastern University. She joined the EDA group in May 2017.

Divyam Saran is a student within the Saarbrucken Graduate School for Computer Science. He is currently doing a Research Immersion lab within the EDA group, working on the topic of summarizing dynamic graphs.

Divyam obtained his Bachelor of Science in Computer Science and Engineering in 2012 from the National Institute of Technology, Durgapur, in India. He worked for Microsoft India between 2013 and 2017, after which he joined Saarland University to pursue his graduate studies.