Curriculum vitae

Matthijs is assistant professor and group leader of the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science (LIACS). LIACS is the computer science institute of Leiden University.

Matthijs likes data, patterns, algorithms, and information theory. He strives for data mining and machine learning methods and results that are principled, explainable, and interpretable.

Matthijs was a senior researcher at LIACS for one year before obtaining his current position. Before that, he was a postdoctoral researcher at Universiteit Utrecht for almost two years (2009-2011) and in the Machine Learning group of KU Leuven for four years (2011-2015). He defended his Ph.D. thesis titled Patterns that Matter in February 2010, which he wrote under supervision of prof.dr. Arno Siebes in the Algorithmic Data Analysis group of Universiteit Utrecht. In his thesis, compression is used to find smalls sets of characteristic patterns that can be used for many different knowledge discovery purposes (see Krimp).


Research topics

  • Exploratory data mining
  • Pattern mining, pattern-based modelling
  • Information theory for data mining
  • Interactive and interpretable data mining and machine learning
  • Statistically sound data mining
  • Subgroup discovery, exceptional model mining
  • Multidisciplinary data science (life sciences, social sciences, Industry 4.0, ...)
  • Data science, big data, artificial intelligence

More at the website of the Explanatory Data Analysis group

Awards

Grants

  • Sanquin PPO research grant for a PhD student (∼200 k€, Sanquin, 2018 – 2022).
  • Memorabel research project from the The Netherlands Organisation for Health Research and Development (622 k€, consortium, ZonMW, 2017 – 2021).
  • FWO postdoctoral fellowship from the Flanders Organisation for Scientific Research (224 k€, personal, FWO, 2013 – 2016).
  • Rubicon grant from the Netherlands Organisation for Scientific Research (110 k€, personal, NWO, 2011 – 2013).

Recent invited talks

  • Data Mining by Compression. Invited talk for study association De Leidsche Flesch. 7 February 2018, Leiden (the Netherlands).
  • Data Mining by Compression. Invited talk at KU Leuven. 9 June 2017, Leuven (Belgium).
  • Mine, Interact, Learn, Repeat. Invited talk at Aalto University. 4 May 2017, Helsinki (Finland).
  • MDL for Pattern Mining Guest lecture for Pattern Mining course at UC Louvain. 27 April 2017, Louvain-la-Neuve (Belgium).
  • Expect the Unexpected - On the Significance of Subgroups. Invited talk at SSDM workshop @ ECML PKDD 2016. 19 September 2016, Riva del Garda (Italy).
  • Big Data: Hit or Hype?. Keynote at ECMA Congress 2016. 15 September 2016, Antibes (France).
  • Big Data: Hype of Hit?. Invited talk at Verenigingscongres De Nederlandse Associatie (DNA). 3 June 2016, Noordwijkerhout (the Netherlands).
  • Big Data: Opportunity or Risk?. Guest lecture for Honours College Social and Behavioural Sciences. 7 March 2016, Leiden (the Netherlands).
  • MDL for Pattern Mining. Guest lecture for Advanced Data Mining course at Antwerp University. 1 March 2016, Antwerp (Belgium).
  • Information Theoretic Methods in Data Mining. Guest lecture at SIKS course on Foundations of Data Science; Data and Process mining. 14 December 2015, Utrecht (the Netherlands).
  • Patterns that Matter. Invited talk at Science meets Business café. 10 December 2015, Leiden (the Netherlands).
  • Mine, Interact, Learn, Repeat. Keynote at symposium on Instant data mining and learning preferences for interactive data mining. 19 November 2015, Nancy (France).
  • Patterns that Matter. Invited talk at Annual LIACS Business Event 2015. 17 November 2015, Leiden (the Netherlands).

Invited visits

Visitors


Chairing and organisation

Conferences

  • General chair of IDA 2015, the 14th International Symposium on Intelligent Data Analysis.
  • Program co-chair of IDA 2014, the 13th International Symposium on Intelligent Data Analysis.
  • Workshop and Tutorial co-chair of ECML PKDD 2016, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery.
  • Demo co-chair of ICDM 2012.
  • Poster chair of IDA 2013.
  • Publicity chair of IDA 2017.
  • Publicity co-chair of SDM 2017.
  • Publicity co-chair of IUI 2015, the International Conference on Intelligent User Interfaces.
  • Advisory co-chair of IDA 2018, the 17th International Symposium on Intelligent Data Analysis.
  • Advisory co-chair of IDA 2016, the 15th International Symposium on Intelligent Data Analysis.
  • Co-organiser of the BNAIC 2007 – 19th Belgian-Dutch Conference on Artificial Intelligence.

Workshops

  • Co-chair of IDEA 2017, the workshop on Interactive Data Exploration and Analysis at KDD 2017.
  • Co-chair of IDEA 2016, the workshop on Interactive Data Exploration and Analysis at KDD 2016.
  • Co-chair of IDEA 2015, the workshop on Interactive Data Exploration and Analysis at KDD 2015.
  • Co-organiser of Data Mining: Beyond the Horizon.
  • Co-chair of IDEA 2014, the workshop on Interactive Data Exploration and Analysis at KDD 2014.
  • Co-chair of IDEA 2013, the workshop on Interactive Data Exploration and Analysis at KDD 2013.
  • Co-chair of IID 2012, the workshop on Instant and Interactive Data Mining at ECML PKDD 2012.
  • Co-chair of MPS 2010, the Lorentz workshop on Mining Patterns and Subgroups.

Tutorials

Committees and councils

Education

Program committees and reviewing

Editorial board memberships

Area chair / Senior program committee memberships

International conferences

  • ECML PKDD – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2017)
  • IDA – International Symposium on Intelligent Data Analysis (2015-2018)
  • ICDM – IEEE International Conference on Data Mining (2016, 2018)
  • IUI – ACM Conference on Intelligent User Interfaces (2015)

Program committee memberships

International conferences

  • KDD – ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2015, 2016, 2018)
  • SDM – SIAM International Conference on Data Mining (2010-2012, 2015-2017, 2019)
  • WWW – International World Wide Web Conference (2018-2019)
  • ECML PKDD – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2010, 2012-2016)
  • ICDM – IEEE International Conference on Data Mining (2012, 2014, 2015)
  • CIKM – ACM International Conference on Information and Knowledge Management (2012, 2013)
  • IDA – International Symposium on Intelligent Data Analysis (2013)
  • AAAI – AAAI Conference on Artificial Intelligence (2015)
  • ECAI – European Conference on Artificial Intelligence (2012, 2014)
  • ASONAM – IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2012)

International workshops

  • PhD Forum at ICDM (2015-2017)
  • ODD – Outlier Detection and Description workshop at KDD (2013, 2016, 2018)
  • Workshop on Mining and Learning of Augmented Graphs at ECML PKDD 2014
  • NISH – Needles In a Stream of Hay workshop at INFORMATIK 2014
  • OMAD – Optimization Methods for Anomaly Detection workshop at SDM 2014
  • I-Pat – Interpretable Patterns workshop at ECML PKDD 2012
  • HaCDAIS – International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions (2010, 2011)
  • LeGo – International Workshop on going From Local Patterns to Global Models (2008, 2009)

Journal reviewing

  • The Aeronautical Journal
  • ARTINT – Artificial Intelligence
  • BMC Medical Informatics and Decision Making
  • COIN – Computational Intelligence
  • COMPJ – The Computer Journal
  • DAMI – Data Mining and Knowledge Discovery
  • DMKD – WIREs Data Mining and Knowledge Discovery
  • ENTRFG – Entropy
  • EVOS – Evolving Systems
  • IDA – Intelligent Data Analysis
  • INS – Information Sciences
  • IS – Information Systems
  • KAIS – Knowledge and Information Systems
  • MACH – Machine Learning
  • Methodology
  • PONE – PLOS ONE
  • SAM – Statistical Analysis and Data Mining
  • TKDD – Transactions on Knowledge Discovery from Data
  • TKDE – Transactions on Knowledge and Data Engineering

Other reviewing

  • Grant proposals: FWO – Research Foundation Flanders
  • Book proposals: Cambridge University Press, SAGE Publishing


Teaching and training

For students

  • Lecturer – Information Theoretic Data Mining (MSc, Leiden University, 2017-2019)
  • Lecturer – Statistics (BSc, Leiden University, 2016-2019)
  • Lecturer – Honours Class Data Science (BSc, Leiden University, 2016-2019)
  • Lecturer – Methodology and Research Approach (MSc PE, Leiden University, 2016-2017)
  • Lecturer – Applied Statistics (BSc, Leiden University, 2015-2016)
  • Lecturer – Databases (BSc, KU Leuven & Kulak, 2012-2015)
  • Lecturer – Capita Selecta Artificial Intelligence (MSc, KU Leuven, 2012-2015)
  • Lecturer – Advanced Data Mining (MSc, Utrecht University, 2010-2011)
  • Teaching assistant – Internet programming (Utrecht University, 2006-2007, 2007-2008)
  • Teaching assistant – Logics and sets (Utrecht University, 2005-2006)

For professionals

  • Lecturer – Statistics (Ministry of Infrastructure and the Environment, the Netherlands, 2016)
  • Lecturer – Statistics (National Health Care Institute, the Netherlands, 2015)
  • Lecturer – Data Science in Practice (KU Leuven, 2014, 2015)
  • Lecturer – Data Mining in Practice (KU Leuven, 2012, 2013)

Students

PhD students

  • Marieke Vinkenoog (co-promotor, Leiden University, 2018-)
  • Daniela Gawehns (co-promotor, Leiden University, 2018-)
  • Manon Wintgens (co-promotor, Leiden University, 2017-)
  • Shannon Kroes (advisor, Sanquin/LUMC, 2017-)
  • Sarang Kapoor (co-promotor, IIT Roorkee, 2016-)
  • Hugo Proença (co-promotor, Leiden University, 2016-)
  • Sander van Rijn (co-promotor, Leiden University, 2016-)
  • Sergey Paramonov (advisor & assessor, KU Leuven, 2013-2017)
  • Dr. Vladimir Dzyuba (co-promotor, KU Leuven, 2012-2017; 9 June 2017)
  • Dr. Thanh Le Van (advisor, KU Leuven, 2011-2016; 11 January 2017)
  • Dr. Diyah Puspitaningrum (co-promotor, Utrecht University; 31 October 2012)

MSc students

  • Teddy Etoeharnowo (supervisor, 2018-)
  • Juliëtte Meeuwsen (daily advisor, 2018-)
  • Daniela Gawehns (daily advisor, 2018-)
  • Lincen Yang, MSc (daily advisor, 2018)
  • Lara Cardinaels (co-promotor & daily advisor, 2014-2015)
  • Joris Gielen, MSc (co-promotor & daily advisor, 2014-2015)
  • Kevin Rase, MSc (co-promotor & daily advisor, 2011-2012)
  • Vladimir Dzyuba, MSc (co-promotor & daily advisor, 2011-2012)
  • Simon Pool, MSc (promotor & daily advisor, 2010-2012)
  • Sander Schuckmann, MSc (co-advisor, 2009)

BSc students

  • Valérie Paul, BSc (daily advisor, 2018)
  • Ruben Klijn, BSc (daily advisor, 2018)
  • Wouter Huijs (daily advisor, 2017-)
  • Stephan van der Putten, BSc (daily advisor, 2017-2018)
  • Sinan Al-Zaeem, BSc (daily advisor, 2016-2017)
  • Jody Liu, BSc (daily advisor, 2017)
  • Kevin Oost, BSc (daily advisor, 2016-2017)
  • Huangsong Wei, BSc (visiting student from Beijing Institute of Technology; daily advisor, 2016)
  • Alain Fonhof, BSc (daily advisor, 2016)
  • Clemens Gonesh, BSc (daily advisor, 2016)
  • Laurens Jansma, BSc (daily advisor, 2016)

PhD examination committees

  • Sergey Paramonov (KU Leuven, Belgium; 29 October 2018)
  • Dr. Roel Bertens (Utrecht University, the Netherlands; 17 May 2017)
  • Dr. Andreas Henelius (opponent; Aalto University, Finland; 5 May 2017)
  • Dr. Thanh Le Van (KU Leuven, Belgium; 11 January 2017)