International conference presentations
Machine learning for exoplanets and asteroseismology
Invited talk, Fundamental Physics in the Era of Big Data and Machine Learning, 26 May – 9 June 2024, Aspen Center for Physics, Aspen, Colorado, USA
Machine learning as a key component in the science processing pipelines of space- and ground-based surveys?
Contributed talk, Debating the Potential of Machine Learning in Astronomical Surveys, 27 Nov – 1 Dec 2023, Center for Computational Astrophysics, Flatiron Institute, New York, USA
Developing an efficient large-scale machine learning pipeline to classify the millions of NASA TESS light curves in search for variable stars
Contributed talk, ADASS: Astronomical Data Analysis Software & Systems XXXIII, 5 – 9 Nov 2023, University of Arizona, Tucson, USA
Updates on the status of the ESA PLATO mission: asteroseismology & exoplanet science
Contributed talk, TASC7/KASC14 Kepler/TESS Asteroseismic Science, 17 – 21 July 2023, University of Hawaiʻi, Honululu, USA
Classifying variable stars in TESS: a supervised and unsupervised approach
Invited talk, Accelerating Physics with Machine Learning, 30 Jan – 1 Feb 2023, Massachusetts Institute of Technology, Cambridge, USA
Unraveling the physical mechanisms of pulsating stars through a multimodal and multidisciplinary machine learning approach
Contributed talk, International Astronomical Union General Assembly 2022 (IAU Symposium 368 Machine Learning in Astronomy: Possibilities and Pitfalls), 2 – 11 August 2022, Busan, South-Korea
An all-sky stellar variability machine learning classification framework for NASA TESS and ESA PLATO
Contributed talk, ESA/ESO SciOps Workshop 2022: Artificial Intelligence for Science and Operations in Astronomy, 16 – 20 May 2022, ESO, Garching bei München, Germany
TESS Data for Asteroseismology (T’DA) Stellar Variability Classification Pipeline
Invited talk, TESS Science Conference II, 2 – 6 August 2021, Massachusetts Institute of Technology (Virtual, due to COVID-19)
Discovering stellar variability subclasses using a novel two-stage classification method
Invited talk, TESS Science Conference II – Splinter Session: SETI with TESS, 2 – 6 August 2021, Massachusetts Institute of Technology (Virtual, due to COVID-19)
Supervised classification of variable stars from the NASA TESS survey with features originating from the biomedical domain
Contributed talk, Where the Earth Meets the Sky, 27 – 28 May 2021, Cosmic Dawn Center, Technical University of Denmark (Virtual, due to COVID-19)
Stellar variability classification of TESS data using unsupervised learning
Contributed talk, NASA Second AI and Data Science Workshop for Earth and Space Sciences, 9 – 11 February 2021, NASA Jet Propulsion Laboratory (Virtual, due to COVID-19)
TESS Data for Asteroseismology (T’DA) Stellar Variability Classification Pipeline
Contributed talk, 237th meeting of the American Astronomical Society, 10 – 15 January 2021 (Virtual, due to COVID-19)
A hybrid approach for the automated classification of NASA TESS stars
Contributed talk, European Astronomical Society Annual Meeting, 29 June – 3 July 2020 (Virtual, due to COVID-19)
Invited seminars and lectures
Unlocking the scientific potential of NASA’s Transiting Exoplanet Satellite (TESS) with machine learning
Seminar, 6 May 2024, Center for Astrophysics, Harvard University & Smithsonian Astrophysical Observatory
Unlocking the scientific potential of large-scale astronomical surveys with machine learning
Seminar, 18 April 2024, European Space Agency
Artificial Intelligence in Astronomy: Unraveling variable stars with machine learning and the NASA Kepler and TESS space missions
Seminar, 26 Jul 2023, University of Hawaiʻi, Institute for Astronomy, Honolulu, USA
Discovering sets of pulsators with machine learning and finding automated ways to probe their physics
Seminar, 12 Oct 2022, The Good Vibrations Seminars series
Machine learning for the classification of variable stars observed by TESS
Seminar, 30 Mar 2022, TESS Science Talks, Kavli Institute for Astrophysics & Space Research, Massachusetts Institute of Technology, Cambridge USA
Towards Digital Entrepreneurship: Innovation, AI & Science
Guest lecture, 21 Oct 2021, Faculty of Economics & Business, KU Leuven, Antwerp, Belgium
Artificial Intelligence & Collaborative Innovation
Guest lecture, 28 Oct 2020, Faculty of Economics & Business, KU Leuven, Brussels, Belgium
Artificial Intelligence: From Theory to Applications
Guest lecture & workshop, 29 Nov 2020, Artevelde University College, Ghent, Belgium
Artificial Intelligence: The New Wave of Digital Disruption, with a particular focus on AI in Science
Guest lecture, 16 Oct 2019, Faculty of Economics & Business, KU Leuven, Brussels, Belgium
Digital Strategy & Entrepreneurship
Guest lecture, 12 Nov 2018, Faculty of Economics & Business, KU Leuven, Antwerp, Belgium
Digital Strategy & Entrepreneurship
Guest lecture, 5 Mar 2018, Faculty of Economics & Business, KU Leuven, Brussels, Belgium