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Dr. Thorsten Meinl

Contact

Address

Universität Konstanz

Fachbereich Informatik und Informationswissenschaft

Box 712

78457 Konstanz, Germany

Room Z 815
Phone (+49) 07531 88-5016
Fax (+49) 07531 88-5132
E-Mail thorsten.meinl(at)uni-konstanz.de
Portrait

Curriculum Vitae

  • since May 2013
    Software Engineer at KNIME.com AG in Zurich and frequent guest at the chair
  • July 2010 - April 2013
    Postdoc and lecturer at Konstanz University at the Nycomed Chair for Bioinformatics and Information Mining
  • 2010-07-09
    Graduation to PhD (Dr.-Ing.) with the topic of Maximum Score Diversity Selection
  • 2010 - 2011
    Co-Secretary of the IEEE SMC Society, together with Heather Fyson
  • March 2006  - July 2010
    PhD student at Konstanz University at the Nycomed Chair for Bioinformatics and Information Mining
  • 2006-09-18
    Organization of the workshop on Mining and Learning with Graphs at the ECML/PKDD 2006 together with Gemma C. Garriga and Thomas Gärtner
  • 2005-10-07
    Organization of the workshop on Mining Graphs, Trees and Sequences at the ECML/PKDD 2005 conference together with Siegfried Nijssen
  • April 2005 - September 2005
    Internship at ALTANA Pharma at Konstanz in the Molecular Modelling group
  • 2004-10-12
    Winner of the Best Student Paper Award at the IEEE SMC 2004 conference for the article on Hybrid Fragment Mining with MoFa and FSG
  • August 2004 - February 2006
    PhD student at the Computer Science Department 2 of the Friedrich-Alexander University Erlangen-Nuremberg
  • January 2003 - July 2003
    Intership at the Data Analysis Research Lab of Tripos Inc. in San Francisco
  • December 1999 - February 2004
    Working student at Framatome ANP for programming intranet applications
  • October 1999 - July 2004
    Student for Computer Science at the FAU Erlangen-Nuremberg
  • July 1999 - March 2002
    Freelancer for AriadCom GmbH
  • September 1990 - June 1999
    Secondary school at the Gymnasium Höchstadt a. d. Aisch

Research Interests

  • Graph Mining
  • Parallel Algorithms
  • Optimization with metaheuristics
  • Main: Chemoinformatics

Teaching

SS 2013: Analyzing Big Data, Data Mining: AI

WS 2012/13: Informatik 1

SS 2012: Parallel Computing, Data Mining: AI

WS 2011/12: Konzepte der Informatik

WS 2011/12: Programmierkurs 1

SS 2011: Programming massivly parallel - driving graphics boards to the extreme

WS 2010/11: Konzepte der Informatik

WS 2010/11: Programmierkurs 1

SS 2010 : Methoden der praktischen Informatik 2

SS 2010 : Auf die Plätze fertig los

Publications

Copmans, D., Meinl, T., Dietz, C., van Leeuwen, M., Ortmann, J., Berthold, M.R., de Witte, P.A.M., A KNIME-based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules, Biomolecular Screening, 2016; BibTeX.
Steinmetz, Fabian P., Mellor, Claire L., Meinl, Thorsten, Cronin, Mark T. D., Screening Chemicals for Receptor-Mediated Toxicological and Pharmacological Endpoints: Using Public Data to Build Screening Tools within a KNIME Workflow, Molecular Informatics, pp. 171–178, WILEY-VCH Verlag, 2015; Doi: 10.1002/minf.201400188, BibTeX.
Beisken, Stephan, Meinl, Thorsten, Wiswedel, Bernd, de Figueiredo, Luis F, Berthold, Michael, Steinbeck, Christoph, KNIME-CDK: Workflow-driven cheminformatics, BMC Bioinformatics, vol. 14, no. 1, pp. 257, 2013; Doi: 10.1186/1471-2105-14-257, BibTeX.
Meinl, Thorsten, Wiswedel, Bernd, Berthold, Michael R., Workflow tools for managing biological and chemical data, In: Guha, Rajarshi, Bender, Andreas, Computational Approaches in Chemoinformatics and Bioinformatics. John Wiley & Sons, Inc., Hoboken, New Jersey, pp. 179–209, 2012; BibTeX.
Meinl, Thorsten, Ostermann, Claude, Berthold, Michael R., Maximum-Score Diversity Selection for Early Drug Discovery, Journal of Chemical Information and Modeling, vol. 51, no. 2, pp. 237-247, 2011; Doi: 10.1021/ci100426r, BibTeX.
Meinl, Thorsten, Maximum-Score Diversity Selection, July  2010; BibTeX.
Berthold, Michael R., Cebron, Nicolas, Dill, Fabian, Gabriel, Thomas R., Kötter, Tobias, Meinl, Thorsten, Ohl, Peter, Thiel, Kilian, Wiswedel, Bernd, KNIME - The Konstanz Information Miner, SIGKDD Explorations, vol. 11, no. 1, 2009; BibTeX.
Borgelt, Christian, Meinl, Thorsten, Full Perfect Extension Pruning for Frequent Subgraph Mining, In: Zigheda, Djamel A., Tsumoto, Shusaku, Ras, Zbigniew W., Hacid, Hakim, Mining Complex Data. ( Studies in Computational Intelligence , Vol. 165 ). Berlin, Germany: Springer, pp. 189–205, Doi: 10.1007/978-3-540-88067-7_11, 2009; BibTeX.
Meinl, Thorsten, Berthold, Michael R., Crossover Operators for Multiobjective k-Subset Selection. In: GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pp. 1809–1810, ACM, Doi: 10.1145/1569901.1570173, 2009; BibTeX.
Meinl, Thorsten, Cebron, Nicolas, Gabriel, Thomas R., Dill, Fabian, Kötter, Tobias, Ohl, Peter, Thiel, Kilian, Wiswedel, Bernd, Berthold, Michael R., The Konstanz Information Miner 2.0. In: Proceedings of OSDM 2009, pp. 26–31, 2009; BibTeX.
Fischer, Ingrid, Meinl, Thorsten, Subgraph Mining, In: Wang, John, Encyclopedia of Data Warehousing and Mining. Hershey, PA, USA: IGI Global, pp. 1865–1870, 2008; BibTeX.
Berthold, Michael R., Cebron, Nicolas, Dill, Fabian, Gabriel, Thomas R., Kötter, Tobias, Meinl, Thorsten, Ohl, Peter, Sieb, Christoph, Thiel, Kilian, Wiswedel, Bernd, KNIME: The Konstanz Information Miner, In: Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V.. ( Studies in Classification, Data Analysis, and Knowledge Organization ). Berlin, Germany: Springer, pp. 319–326, 2007; BibTeX.
Berthold, Michael R., Cebron, Nicolas, Dill, Fabian, Gabriel, Thomas R., Kötter, Tobias, Meinl, Thorsten, Ohl, Peter, Sieb, Christoph, Thiel, Kilian, Wiswedel, Bernd, Open Source Data Pipelining fuer Interaktive Datenexploration. In: Aktuelle Trends in der Softwareforschung (do it.software-forschungstag 2007), MFG Stiftung Baden-Wuerttemberg, 2007; BibTeX.
Dreweke, Alexander, Wörlein, Marc, Fischer, Ingrid, Schell, Dominic, Meinl, Thorsten, Philippsen, Michael, Graph-Based Procedural Abstraction. In: Proc. International Symposium on Code Generation and Optimization CGO '07, IEEE, , 11–14 March, pp. 259–270, Doi: 10.1109/CGO.2007.14, 2007; BibTeX.
Meinl, Thorsten, Wörlein, Marc, Urzova, Olga, Fischer, Ingrid, Philippsen, Michael, The ParMol Package for Frequent Subgraph Mining, Electronic Communications of the EASST, vol. 1, pp. 1–12, 2007; BibTeX.
Sieb, Christoph, Meinl, Thorsten, Berthold, Michael R., Parallel and Distributed Data Pipelining with KNIME, The Mediterranean Journal of Computers and Networks, vol. 3, no. 2, pp. 43–51, SoftMotor Ltd., 2007; BibTeX.
Berthold, Michael R., Cebron, Nicolas, Dill, Fabian, Fatta, Giuseppe Di, Gabriel, Thomas R., Georg, Florian, Meinl, Thorsten, Ohl, Peter, Sieb, Christoph, Wiswedel, Bernd, KNIME: the Konstanz Information Miner. In: Proceedings 4th Annual Industrial Simulation Conference, Workshop on Multi-Agent Systems and Simulation (ISC 2006), 2006; BibTeX.
Borgelt, Christian, Meinl, Thorsten, Full Perfect Extension Pruning for Frequent Graph Mining. In: Proc. Sixth IEEE International Conference on Data Mining Workshops ICDM Workshops 2006, Dec., pp. 263–268, Doi: 10.1109/ICDMW.2006.82, 2006; BibTeX.
Meinl, Thorsten, Wörlein, Marc, Fischer, Ingrid, Philippsen, Michael, Mining Molecular Datasets on Symmetric Multiprocessor Systems. In: Proceedings of the 2006 IEEE International Conference on Systems, Man and Cybernetics, IEEE, , 8–11 Oct., vol. 2, pp. 1269–1274, Doi: 10.1109/ICSMC.2006.384889, 2006; BibTeX.
Meinl, Thorsten, Wörlein, Marc, Urzova, Olga, Fischer, Ingrid, Philippsen, Michael, The ParMol package for frequent subgraph mining. In: Third International Workshop on Graph Based Tools, Zündorf, Albert, Varro, Daniel, 21–22 Sep., 2006; BibTeX.
Wörlein, Marc, Dreweke, Alexander, Meinl, Thorsten, Fischer, Ingrid, Philippsen, Michael, Edgar: the Embedding-baseD GrAph MineR. In: Proceedings of the International Workshop on Mining and Learning with Graphs, Gärtner, Thomas, Garriga, Gemma C., Meinl, Thorsten, pp. 221–228, 2006; BibTeX.
Borgelt, Christian, Meinl, Thorsten, Berthold, Michael R., MoSS: A Program for Molecular Substructure Mining. In: Proceedings of OSDM 2005 (Open Source Data Mining Workshop on Frequent Pattern Mining Implementations), Goethals, Bart, Nijssen, Siegfried, Zaki, Mohammed J., August, pp. 6–15, Doi: 10.1145/1133905.1133908, 2005; BibTeX.
Fischer, Ingrid, Meinl, Thorsten, Subgraph Mining, In: Wang, John, Encyclopedia of Data Warehousing and Mining. Hershey, PA, USA: Idea Group, pp. 1059–1063, 2005; BibTeX.
Meinl, Thorsten, Fischer, Ingrid, Philippsen, Michael, Parallel Mining for Frequent Fragments on a Shared-Memory Multiprocessor -Results and Java-Obstacles-. In: LWA 2005 - Beiträge zur GI-Workshopwoche Lernen, Wissensentdeckung, Adaptivität (Workshop der GI-Fachgruppe "Maschinelles Lernen, Wissensentdeckung, Data Mining" (FGML) ), Bauer, Mathias, Kröner, Alexander, Brandherm, Boris, 10 Oct., pp. 196–201, 2005; BibTeX.
Wörlein, Marc, Meinl, Thorsten, Fischer, Ingrid, Philippsen, Michael, A quantitative comparison of the subgraph miners MoFa, gSpan, FFSM, and Gaston. In: Knowledge Discovery in Database: PKDD 2005, Jorge, Alipio, Torgo, Luis, Brazdil, Pavel, Camacho, Rui, Gama, Joao, Series Lecture Notes in Computer Science, vol. 3721, pp. 392–403, Springer, Doi: 10.1007/11564126_39, 2005; BibTeX.
Borgelt, Christian, Meinl, Thorsten, Berthold, Michael R., Advanced pruning strategies to speed up mining closed molecular fragments. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Thissen, Wil, Wieringa, Peter, Pantic, Maja, Ludema, Marcel, 10–13 Oct., vol. 5, pp. 4565–4570, Doi: 10.1109/ICSMC.2004.1401251, 2004; BibTeX.
Fischer, Ingrid, Meinl, Thorsten, Graph Based Molecular Data Mining - An Overview. In: Proc. IEEE International Conference on Systems, Man and Cybernetics, Thissen, Wil, Wieringa, Peter, Pantic, Maja, Ludema, Marcel, 10–13 Oct., vol. 5, pp. 4578–4582, Doi: 10.1109/ICSMC.2004.1401253, 2004; BibTeX.
Meinl, Thorsten, Erweiterte Fragmentsuche in Moleküldatenbanken, Computer Science Department 2, University of Erlangen-Nuremberg, diploma thesis, August, 2004; BibTeX.
Meinl, Thorsten, Berthold, Michael R., Hybrid Fragment Mining with MoFa and FSG. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Thissen, Wil, Wieringa, Peter, Pantic, Maja, Ludema, Marcel, 10–13 Oct., vol. 5, pp. 4559–4564, Doi: 10.1109/ICSMC.2004.1401250, 2004; BibTeX.
Meinl, Thorsten, Borgelt, Christian, Berthold, Michael R., Discriminative Closed Fragment Mining and Perfect Extensions in MoFa, In: Onaindia, Eva, Staab, Steffen, STAIRS 2004 - Proceedings of the Second Starting AI Researchers' Symposium. ( Frontiers in Artificial Intelligence and Applications , Vol. 109 ). Amsterdam: IOS Press, pp. 3–14, 2004; BibTeX.
Meinl, Thorsten, Borgelt, Christian, Berthold, Michael R., Mining fragments with fuzzy chains in molecular databases. In: Proceedings of the Workshop W7 on Mining Graphs, Trees and Sequences (MGTS '04), Kok, Joost, Washio, Takashi, pp. 49–60, 2004; BibTeX.