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MALEO Staff Members

  • Prof. Dr. Heike Trautmann

    Position: Professor
    Phone: +49 5251 60-6695
    E-mail: heike.trautmann@uni-paderborn.de

    Heike Trautmann is Professor of Machine Learning and Optimization at Paderborn University. Previously, she spent ten years as a Professor of Data Science: Statistics and Optimization in the Department of Information Systems at the University of Münster. Her research mainly focuses on (Trustworthy) Artificial Intelligence, Machine Learning, Data Science, Automated Algorithm Selection and Configuration, Exploratory Landscape Analysis, (Multi-Objective) Evolutionary Optimisation and Data Stream Mining. She is also (Guest) Professor of Data Science in the Data Management and Biometrics group at the University of Twente (NL). Moreover, she serves as key supporter of the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE), founder and member of the Configuration and Selection of Algorithms (Coseal) Network and Member of the European Research Center for Information Systems (ERCIS) leading the AI and Data Science research cluster. Moreover, she is actively involved into the Software Innovation Campus (SICP) in Paderborn.

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  • Dr. Jakob Bossek

    Position: Akademischer Rat
    Phone: +49 241 80 21453
    E-mail: jakob.bossek@uni-paderborn.de

    Jakob received his bachelor degree in Statistics and diploma in Computer Science from the TU Dortmund University (Germany) in 2013 and 2014, respectively. In 2018 he finished his doctorate studies in Information Systems at the University of Münster, Germany. He held PostDoc positions at the University of Münster, Germany and the University of Adelaide, Australia, and was assistant professor at RWTH Aachen before he joined the Machine Learning and Optimization (MALEO) group at Paderborn University as assistant professor (Akademischer Rat) in 2023. His broad research interests include practical and theoretical aspects of bio-inspired problem solving, in particular evolutionary algorithms for NP-hard combinatorial optimisation problems.

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  • Dr. Britta Grimme

    Position: PostDoc
    E-mail: britta.grimme@uni-paderborn.de

    Britta Grimme holds a diploma and a PhD in Biology, specializing in neuroinformatics from Ruhr Universität Bochum. During her doctoral studies, she analyzed and modeled human arm movements utilizing 3D movement tracking data. Britta additionally holds a BSc in Computer Science from TU Dortmund, where she focused on AI methodologies for solving logistics issues. Currently, she works as a postdoctoral researcher at the Chair for Machine Learning and Optimization at Paderborn University, contributing to the TRR project. In this role, she develops AI methods for social media analysis, specifically for malicious campaign detection and explanation.

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  • Dr. Urban Škvorc

    Position: PostDoc
    E-mail: urban.uskvorc@uni-paderborn.de

    Urban received his Bachelor’s and Master’s degree in Computer and Information Science at the University of Ljubljana In 2015 and 2018, and defended his doctoral dissertation at the Jožef Stefan International Postgraduate School in Ljubljana in 2023 under the supervision of Dr. Peter Korošec and Dr. Tome Eftimov. His research interests include optimization, benchmarking, exploratory landscape analysis (ELA), and machine learning. In his PhD thesis, he focused on examining the reliability and transferability of knowledge obtained using ELA for the task of algorithm selection. Currently, he works as a postdoctoral researcher at the Machine Learning and Optimisation group (MALEO), University of Paderborn.

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  • Dr. Moritz Vinzent Seiler

    Position: PostDoc
    E-mail: moritz.seiler@uni-paderborn.de

    In 2023, Moritz successfully defended his doctoral thesis which was supervised by Prof. Dr. Heike Trautmann. His thesis focused on the development of Feature-Free Automated Algorithm Selection and Configuration, with a particular focus on Deep Learning. Moritz also earned both his Bachelor’s and Master’s degrees in Information Systems from the University of Münster, completing his undergraduate studies in 2016 and his graduate studies in 2018. Presently, his research focus is on foundation models for feature learning in the context of continuous and combinatorial optimization problems. This research aims to explore a different and more sophisticated way for feature generation of various optimization domains aiming to path way into novel domains that currently lack any sophisticated feature sets.

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  • Jeroen Rook, M.Sc.

    Position: PhD student (Twente University)
    E-mail: j.g.rook@utwente.nl

    Jeroen received his B.Sc. and M.Sc. in Computer Science at Leiden University, The Netherlands, in 2018 and 2021, respectively. He specialised in artificial intelligence and advanced data analytics in his master’s degree and wrote his thesis on the topics of model counters and automated algorithm configuration. His experience with these meta-algorithmics during his thesis research sparked his interest in that domain. Currently, he is pursuing his PhD degree at the University of Twente, The Netherlands, under the supervision of Prof. Dr. Heike Trautmann, Prof. Dr. Holger H. Hoos and Dr. Ir. Maurice van Keulen.

    The research of Jeroen is on multi-objective approaches for automated algorithm selection and configuration. Many real-world problems often have more than one performance objective; however, most existing configuration and selection frameworks usually focus on single objectives. By producing multi-objective approaches, Jeroen aims to make meta-algorithmics more statistically robust, versatile and powerful. Consequently, his broader research interests lie in multi-objective optimisation and algorithm benchmarking.

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  • Oliver Preuß, M.Sc.

    Position: PhD student
    E-mail: oliver.preuss@uni-paderborn.de

    Oliver received his Bachelor degree in Information Systems from the University of Münster in 2021. Subsequently he studied in a masters double degree programme in Information Systems at the University of Münster and Business Information Technology at the University of Twente with a focus on Data Science. In 2023 he obtained a Master’s degree from the University of Münster and University of Twente. After his graduation he started his position as PhD student at the Chair for Machine Learning and Optimisation (MALEO) at the Paderborn University. His research topics include (Multi-Objective) Evolutionary Optimization, and Automated Algorithm Selection and Configuration.

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  • Carolin Mensendiek, M.Sc.

    Position: PhD student
    E-mail: carolin.mensendiek@uni-paderborn.de

    Carolin earned her Bachelor’s degree in Business Information Systems from Paderborn University in 2021. She then continued with a Master’s degree in Business Information Systems at the same university, specializing in Operations Research and Machine Learning. During her studies, she worked at the Chair of Operations Research at Paderborn University. For her Master’s thesis, she partnered with the company flaschenpost, developing optimal policy trees to improve customer-to-depot assignments in real-time delivery services. Carolin now works as PhD student at the Chair of Machine Learning and Optimization (MALEO) at Paderborn University.

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  • Marion Hucke

    Position: Assistant
    Phone: +49 5251 60-6695
    E-mail: marion.hucke@uni-paderborn.de

    After training as a secretary at the Paderborn University, Marion Hucke joined Prof. Burkhard Monien’s Parallel Computing Group in 1991. Following the emeritus of Prof. Monien in 2009, she became secretary to Prof. Christian Scheideler in the Theory of Distributed Systems group. She continued to perform various secretarial tasks for Professor Monien, who was secretary of the “Engineering Sciences” class at the Academy of Sciences. When the Collaborative Research Centre “On-the-fly Computing” started in 2011, Marion worked as administrative assistant to the CRC director, Dr. Ulf-Peter Schroeder, and also to Prof. Scheideler. The CRC ended in June 2023 after the third funding period with a total of 12 successful years. In October 2023, Marion started working as an administrative assistant for Prof. Heike Trautmann, Chair of Machine Learning and Optimisation, and for Prof. Ivan Habernal, Chair of Natural Language Processing.

  • Jan Lamminger

    Position: Technician (at IRB)
    E-mail: jan.lamminger@uni-paderborn.de

    Jan Lamminger is a non-scientific employee of the Department of Computer Science (Informatik Rechnerbetrieb (IRB)). He ist a state-certified technician for information and communication technology including university entrance qualification. In 2012 he started to study Computer Science in Münster and later Paderborn, but decided to switch to a different profession for a while. Between 2017 and 2022 Jan got vocational training at the federal Police Department in Koblenz in gunsmithing and was responsible for small arms and equipment for regular and special police units. Following this, he returned home to North Rhine-Westphalia and worked in a ballistic laboratory in Altenbeken at DEVA e.V. (Deutsche Versuchs- und Prüfanstalt für Jagd- und Sportwaffen e.V.) where his work was mainly focused on ammunition testing for hunting and sport shooting, ballistic testing of protective materials, as well as various ballistic experiments for research purposes. In 2024 he returned to working in information technology at the Paderborn University.

  • Soumitri Mukherjee, B.Sc.

    Position: Student assistant
    E-mail: soumitri@mail.uni-paderborn.de

    Soumitri Mukherjee completed his Bachelor of Technology studies in Computer Science and Engineering in 2020 at Calcutta University, India. After graduating, she worked as a software engineer for three years. Driven by an interest in higher studies in machine learning and data science, she began pursuing her Masters in Computer Science at Paderborn University in 2023. Currently, she is working as a student assistant in the MALEO group at the Paderborn University.

  • Fahim Jafari, B.Sc.

    Position: Student assistant
    E-mail: fjafari@mail.uni-paderborn.de

    Fahim Jafari earned his Bachelor’s in Computer Engineering from the University of Ferdowsi, Iran. He gained hands-on experience as a data scientist at AHD company in Iran. Currently pursuing a Master’s in Computer Science at the University of Paderborn, Germany, Fahim contributes as a student assistant in the MALEO Group, focusing on intelligence and data.

  • Maleo Mascot

    Position: Mascot

    Our MALEO group mascot :)

Past Members

We thank the following people for their contributions and wish all the best for the future!

  • Dipl.-Inf. Heinz-Georg Wassing

    Position: Technician (at IRB)
    E-mail: wassing@uni-paderborn.de

    Heinz-Georg Wassing is a non-scientific employee of the Department of Computer Science (Informatik Rechnerbetrieb (IRB)). Heinz-Georg studied computer science in Paderborn from 1980-1986. Afterwards, from 1986 to 1989, he worked as a software developer at Nixdorf-Computer AG in Paderborn before he re-joined Paderborn university as a technician at the Institute of Mathematics where he worked from 1989 to 2003. Since 2003, Heinz-Georg has been an IRB technician at the Institute of Computer Science.

  • Harshit Purohit, B.Sc.

    Position: Student assistant
    E-mail: harshit.purohit@uni-paderborn.de

    Harshit received his Bachelor degree in computer science from Amity University, Kolkata, in 2021. During his Bachelor’s studies, he worked as a data science intern in MyWBUT. After completing his Bachelor’s studies, he worked as an data analyst intern in Asian Granito India Limited. Currently, he is pursuing a Master’s degree in computer science with a specialized focus on intelligence and data and working as a research assistant in the MALEO group at the Paderborn University.