Working Experience

  • Co-Founder & CTO, Nobl.ai, Feb.2024 - Now.
  • Postdoctoral Researcher, Ghent University, 2020 - Now.
  • Doctoral Researcher, Ghent University, 2015 - 2019.
  • Research Intern, Facebook AI, Jun.2018 - Oct.2018.
  • Research Staff, University of Bristol, Summer 2015.
  • Research Assistant, Fraunhofer IAIS, 2012 - 2015.
  • Research Assistant, University of Bonn, Winter 2012.

Software

  • SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model   project
  • Explanations for Network Embedding-based Link Prediction   project
  • Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information   project
  • DataUntangler: Interactive Data Exploration with Embeddings and Probing   project
  • CNE: Conditional Network Embeddings   project
  • Subjectively Interesting Subgroup Discovery on Real-valued Targets   project
  • SIDE: A Tool for Subjective and Interactive Visual Data Exploration   demo
  • SICA: Subjectively Interesting Component Analysis   code

Teaching

Awards

  • IBM Innovation Award, 2020. tweet
  • International Conference on Learning Representations (ICLR) Travel Award, 2019.

Talks and Posters

  • A recommender system deployed on VDAB data
    UGent @Work Symposium, Ghent University, 2022.
    slides tba
  • Subjectively Interesting Data Representations
    Research Seminar of the TUW RU Machine Learning, TU Wien, 2021.
    slides tba
  • A Recommender Platform Deployed on VDAB Data
    FLAIR WP8-T8.3 Workshop, Ghent, Belgium, 2021.
    slides tba
  • Conditional Network Embeddings
    BNAIC19 & Benelearn19, Brussels, Belgium, 2019.
    slides tba
  • Conditional t-SNE
    Tufts University, United States, 2018.
    slides
  • CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions
    with Dylan Cashman, Remco Chang, Jefrey Lijffijt and Tijl De Bie
    In IEEE Visual Analytics in Science and Technology (VAST), 2018.
    poster   abstract
  • A graph based approach for formalizing subjective interestingness of data projections
    with Jefrey Lijffijt, Raúl Santos-Rodríguez and Tijl De Bie
    In International Symposium on Intelligent Data Analysis (IDA), 2015.
    poster
  • One Click Mining: Interactive Local Pattern Discovery through Implicit Preference and Performance Learning
    Advanced Database Research and Modeling Group, University of Antwerp, Belgium, 2013.
    talk slides

Community Services

Organisation of conferences, workshops

  • Co-chair. International workshop on AI for Human Resources and Public Employment Services (AI4HR&PES 2024), Vilnius, Lithuania. Website
  • Co-chair. International workshop on AI for Human Resources and Public Employment Services (AI4HR&PES 2022), Turin, Italy. Website
  • Co-chair. ECML-PKDD Workshop on Fair, Effective and Sustainable Talent Management Using Data Science (FEAST 2022), Grenoble, France. Website
  • Co-chair. ECML-PKDD Workshop on Fair, Effective and Sustainable Talent Management Using Data Science (FEAST 2021), Virtual, Spain. Website
  • Co-chair. ECML-PKDD Workshop on Graph Embedding and Mining (GEM 2021), Virtual, Spain. Website
  • Web chair, Virtual conference chair. European Conference of Machine Learning and Principles and Practices of Knowledge Discovery in Databases (ECML-PKDD 2020), Ghent, Belgium. Website
  • Co-chair. ECML-PKDD Workshop on Graph Embedding and Mining (GEM 2020), Ghent, Belgium. Website
  • Co-chair. ECML-PKDD Workshop on Graph Embedding and Mining (GEM 2019), Würzburg, Germany. Website

Community services

  • I constantly serve as a program committee member for various conferences and workshops, including ICML, NeuralIPS, ICLR, SIGKDD, WWW, WSDM, ECML-PKDD, SDM, PAKDD, LoG, MLG, RecSys for HR etc.
  • I also constantly review for various journals, including TKDE, MLJ, DMKD, KBS, BigData, IEEE Communication etc.

Examination committee member

  • Jixiang Qing, Bayesian Active Learning for Engineering Design and Optimization Under Uncertainty, Doctor of Engineering, Ghent University, 2023.
  • Hao Qin, Implementation and Benchmarking of Recommender Systems for Job Matching, Master of Statistical Data Analysis, Ghent University, 2023.
  • Xander Vankwikelberge, ExClus: Explainable Clustering on Low-dimensional Data Representations, Master of Computer Science Engineering, Ghent University, 2021.
  • Robin Vandaele, Topological Inference in Graphs and Images, Doctor of Computer Science Engineering, Ghent University, 2020.

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