Invited

2022

  • Invited talk at Bio-informatics meets ML, Mittweida, Germany
    - 01/12/2022
    Title: Interpretable machine learning for medical data analysis
  • Invited keynote speaker at the 4th Int. Conference on Applications of Intelligent Systems APPIS, Las Palmas de Gran Canaria
    01/02 - 05/02/2022
    Title: Machine Learning incorporating expert knowledge
  • Invited keynote speaker at the Int. Workshop ADVANCES IN MACHINE LEARNING (AMALEA), Cetraro, Italy
    12/09 - 16/09/2022
    Title: Machine Learning incorporating expert knowledge - combining the predictive power of machine learning with the explanatory power of modelling
  • Invited talk at the University of Birmingham, Birmingham, UK
    10/10/2022 -
    Title: Machine Learning incorporating expert knowledge - combining the predictive power of machine learning with the explanatory power of modelling

2020

  • Lorentz Center, Oort, Leiden
    20/01 - 24/01/2020
    Academic team leader at Lorentz Center workshop: ICT with Industry
  • De Noordelijke ProductiviteitsAlliantie NPAL Masterclasses Industrie 4.0, Solidus, Oude Pekela
    05/02/2020 -
    Invited talk “Learning from and with Data” subtitled “Analysis and Automation of Production Processes in Smart Industry”

2019

  • Invited speaker at the GMP Annual Symposium (Group of Metabolism and Pharmacokinetics) Session: Future of modelling: case studies, Lyon, France
    15/10 - 18/10/2019
    DMPK-centred approach to predict drug efficacy and safety, talk Learning pharmacokinetic models: combining the predictive power of machine learning with the explanatory power of modelling
  • Dagvoorzitter ICT.OPEN
    19/03 - 20/03/2019
    Gooiland in Hilversum
  • VHTO rolmodel speeddate, Groningen
    08/11/2019 -
    Niveau havo/vwo

2018

  • Lorentz Center, Oort, Leiden
    15/01 - 19/01/2018
    Accelerating the Search for Dark Matter with Machine Learning
  • Las Palmas de Gran Canaria, Spain
    04/01 - 12/01/2019
    Clustering tutorial at Winter school on Machine Learning WISMAL in connection to Applications of Intelligent Systems (APPIS)
  • SUNDIAL Training School, Groningen, NL
    22/01 - 26/01/2018
    Invited Lecture: Unsupervised methods for machine learning
  • University of Agder, Kristiansand, Norway
    06/02 - 07/02/2019
    Invited talk at Centre for Artificial Intelligence Research (CAIR)
  • Lorentz Center, Snellius, Leiden
    08/10 - 12/10/2018
    Molecular Simulations Meets Machine Learning and Artificial Intelligence

2017

  • University of Birmingham
    11/12 - 15/12/2017
    Model Parameterisation in Healthcare and Life Sciences: Extracting Knowledge from Data
  • Dagstuhl seminar 17332 Scalable Set Visualizations, Schloss Dagstuhl, Leibniz Center for Informatics, Germany
    13/08 - 18/08/2017
    Scalable Set Visualizations through time

2016

  • Model Parameterisation for Predictive Medicine, University of Birmingham
    04/07 - 07/07/2016
    Learning in the Space of Dynamical Models of Adrenal Steroidogenesis
  • Dagstuhl seminar 16261 Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis, Schloss Dagstuhl, Leibniz Center for Informatics, Germany
    26/06 - 01/07/2016
    Metabolomics: Challenges and Possibilities - Learning in variable dimensional spaces

2015

  • Dagstuhl seminar 12081 Bridging Information Visualization with Machine Learning, Schloss Dagstuhl, Leibniz Center for Informatics, Germany
    01/03 - 06/03/2015
    Supervised dimension reduction. A brief history

2012

  • Dagstuhl seminar 12081 Information Visualization, Visual Data Mining and Machine Learning, Schloss Dagstuhl, Leibniz Center for Informatics, Germany
    19/02 - 24/02/2012
    Supervised dimension reduction. A brief history

2011

  • Dagstuhl seminar 11341 Learning in the context of very high dimensional data, Schloss Dagstuhl, Leibniz Center for Informatics, Germany
    21/08 - 26/08/2011
    Adaptive Matrices for Color Texture Classification

2010

  • invited project at the Center of Excellence Cognitive Interaction Technology (CITEC), Bielefeld University, Germany
    01/09 - 01/11/2010
    A Generalized Framework for Dimension Reduction Mappings
  • invited project at the Department of Biomedical Engeneering, University of Rochester, New York, USA
    09/2009 - 03/2010
    Neighbor Embedding XOM for Dimension Reduction and Visualization

2009

  • Dagstuhl seminar 09081 Similarity-based learning on structures, Schloss Dagstuhl, Leibniz Center for Informatics, Germany
    15/02 - 20/02/2009
    Limited Rank LVQ and Applications