I enjoy speaking about my work in AI, recommender systems and personalization, and semantic search.

In the current times where AI touches many aspects of our lives, I feel a responsibility as a computer scientist to explain about my work and area of expertise, and participate in the public debate.


  • March 21: Invited speaker at NLP4HR Workshop, EACL 2024, St. Julians, Malta (and online)
  • February 2: Keynote at Data Systems Project (MSc Information studies course) Symposium, University of Amsterdam


  • September 6: AI en de toekomst van werk @ Randstad YOUNG Clipper talk, Clipper Stad Amsterdam, Rotterdam
  • June 22: The Rise of AI and the Changing World of Work: A Conversation with IBM, McKinsey and Randstad
    AmCham The Netherlands Events, Amsterdam
  • πŸ‡©πŸ‡° June 16: Guest lecture on Job recommendation (with Mesut Kaya)
    RecSys Summer School 2023, Copenhagen, Denmark
  • πŸ‡§πŸ‡ͺ May 26: “Beyond ethics washing. Impact assessments, audits, and oversight for AI” panelist
    Computers, Privacy & Data Protection (CPDP2023), Brussels, Belgium
  • May 11: Digital Talk | De AI act: Zo bereid jij je optimaal voor
    DDMA, online.
  • March 24: Guest lecture on Recommender Systems for news and HR
    Utrecht Data School, Utrecht University (online)
  • February 22: Guest lecture on Recommender Systems for HR
    Information Services (MSc course), Universiteit Twente, Enschede, The Netherlands
  • January 28: Adyen Privacy Day panelist (internal event)
    Adyen, Amsterdam, The Netherlands


  • December 14: SEA December: A Year in IR in Amsterdam
    University of Amsterdam, Amsterdam, The Netherlands. link
  • October 31: AI for Good #2: Inclusiviteit & Veiligheid
    Felix Meritis, Amsterdam, The Netherlands. link
  • October 14: AI & Ethics Panelist
    Reshaping Work 2022 Conference, De Rode Hoed, Amsterdam, The Netherlands. link
  • October 7: Guest lecture on RecSys for HR & Bias
    Maastricht University, Maastricht.
  • September 23: The Future of the Labor Market
    Business seminar series “UvA in DeLaMar,” DeLaMar, Amsterdam. link
  • πŸ‡§πŸ‡ͺ May 23: AI in HR: Recommender Systems and Ranking, NLP for matching, and Knowledge Graphs
    UGent Data Science Seminar, UGent, Gent, Belgium. link
  • May 18: Panel on AI in HR & recruitment for a more inclusive labor market
    “Hey Siri: Vind een geschikte kandidaat” Conference in DeFabrique, Utrecht. link
  • April 14: IR in HR: Matching, ranking, and representing jobs and job seekers. Invited Industry Day Talk at the 44th European Conference on Information Retrieval. Online
  • April 11: Guest lecture on Algorithmic Matching & News Recommendation at Business Ethics MSc. Course. HvA, Amsterdam, The Netherlands.
  • March 25: AI in HR: algorithmic matching, bias, and bias mitigation KINTalks series. VU Amsterdam/hybrid, The Netherlands. link


  • December 16: AI for bursting filter bubbles and addressing bias in hiring
    Amsterdam Tech Talk @ Elsevier (internal event), online.
  • December 3: Guest lecture on Data Science in HR: recommender systems, knowledge graphs, vacancies and resumes
    Data Science in the Wild colloquium series, Applied Data Science MSc, Utrecht University (online)
  • September 17: Keynote on Data Science in HR: recommender systems, knowledge graphs, vacancies and resumes
    International Workshop on Fair, Effective And Sustainable Talent management using data science (FEAST) at ECML-PKDD 2021. link
  • September 8: Data Science @ Randstad.
    Data Science Demo @ ING (internal event), online.
  • September 1: Webinar “Conversations on Governing AI with Randstad & Dataiku
    Dataiku Webinar, online. link | post
  • June 8: Guest lecture on Recommender Systems in HR
    Course: Human-Centered Machine Learning, MSc Artificial Intelligence, Universiteit Utrecht
  • April 13: Guest lecture on Recommender Systems in HR
    Course: Collectieve Intelligentie, BSc Informatiekunde, Universiteit van Amsterdam
  • April 8: Talk on “Pragmatic ethical and fair AI for data scientists
    DDMA Montly Meetup Artificial Intelligence, online. slides | link
  • March 23: Invited talk on Recommender systems for bursting filter bubbles
    BBC Data Dates, online
  • February 11: Panelist in panel discussion on Responsible data science in practice
    ICT.Open 2021, online
  • February 10: Guest lecture on Recommender systems, algorithmic bias, and bias mitigation in hiring and recruitment
    BSc Business Information Technology, Universiteit Twente, online


  • December 11: Guest lecture on Recommender systems for bursting filter bubbles and mitigating bias in recruitment
    MSc Applied Data Science Ethics Colloquium Series, Universiteit Utrecht.
  • November 20: Talk on AI for bursting filter bubbles and addressing bias in hiring
    Industry and Society day at BNAIC/BeneLearn 2020, Leiden. link
  • November 12: Guest lecture on using AI to bring news to readers and jobs to job seekers
    Leergang Artificial Intelligence voor juristen basiscursus, Universiteit Leiden, Leiden. link
  • October 29: Talk on Algorithmic matching, bias, and bias mitigation in automated recruitment
    Anti-Discrimination Hackathon, Online. link | post | video
  • September 23: Co-host of the “Sharing is Caring” social event at RecSys 2020. Online. link
  • January 23: Panel discussion on “Algorithms and AI-driven technologies in the information society”
    CPDP2020 Conference on Data Protection and Artificial Intelligence, Brussels, Belgium. link


  • November 27: Content Enrichment and Recommendation of Financial News
    Knowledge sharing session at ABN AMRO, ABN AMRO Head Office, Amsterdam.
  • November 26: Panel discussion on “Challenges in Digital Literacy”
    Digital Society Conference at Media Plaza, Utrecht. link | tweet
  • October 8: Bias in recommendations
    SIKS Course ‘Advances in Information Retrieval’, Mitland Hotel, Utrecht, The Netherlands. link | slides
  • September 11: Recommender Systems in the Media Industry – Relevance, Recency, Popularity, and Diversity (lecture and hands-on session, together with Daan Odijk)
    The ACM Summer School on Recommender Systems, University of Gothenburg, Gothenburg, Sweden. link | slides and notebooks
  • June 20: Explainable AI. Should companies justify algorithmic decisions?
    Talk on “Reading News with a Purpose” + participation in panel session with Marcel Worring and Hinda Haned.
    Academisch-Cultureel Podium SPUI25, Amsterdam. link | video
  • May 20: Guest lecture “Collectieve Intelligentie” on News Personalization and Ethics @ FD Mediagroep
    Universiteit van Amsterdam (1st year Bachelor program Informatiekunde), Amsterdam.
  • April 12: Opening the black box of user profiles for self-actualization
    ICAI – AIRLab meetup on Fair and transparent machine learning, Zaandam, The Netherlands. link
  • March 20: Panel: Where is YOUR moral compass in building AI systems? 
    ICT.Open 2019, Hilversum, The Netherlands. link | tweet
  • March 5: SMART Journalism Update
    Internal talk for editors of Het Financieele Dagblad, Amsterdam, The Netherlands. tweet
  • January 21: FD Mediagroep @ ICT with Industry: opening the black box of user profiles.
    ICT with Industry, Leiden, The Netherlands. link


  • December 15: How Media Technology brought me from Media to Technology (and media)
    Media Technology’s Alumni Lecture Series: What’s next? #2: Research. Leiden, The Netherlands. link
  • πŸ‡¨πŸ‡¦ October 6: β€œLet Me Tell You Who You are” β€” Explaining Recommender Systems by Opening Black Box User Profiles
    The 2nd FATREC Workshop: Responsible Recommendation at RecSys 2018, Vancouver, Canada. link
  • June 7: Technologische ontwikkelingen in informatievoorziening, KNVI-JI Middagsessie, Amsterdam, The Netherlands.
  • May 25: Wat is een algoritme? Toepassingen, voorbeelden, etc., Civil Weapons of Math Retaliation, Utrecht, The Netherlands.
  • May 17: Financial News Mining, Mind, Text & Mining Seminar, VU Amsterdam, The Netherlands.
  • March 28: Zoeken, vinden, en aanbevelen: personalisatie vs. privacy, vogin-ip-lezing 2018: Zoeken & Vinden, Amsterdam, The Netherlands. link | slides
  • February 28th: Life after PhD…, Inspire session @ Data Science Career Fair, ACE @ Science Park, Amsterdam, The Netherlands. link
  • February 9th: Financial News Mining, PyData, RTL Nederland, Hilversum, The Netherlands. link | slides


  • November 16th: Financial News Mining, Data Science Northeast Netherlands, Mydatafactory, Meppel, The Netherlands. link | slides
  • October 19th: A word from our hosts…, The 8th Recommender Systems Amsterdam Meetup, FD Mediagroep, Amsterdam, The Netherlands. link
  • June 22nd: Regionale Data in, Workshop “van regionale data naar informatie,” Utrecht School of Economics, Utrecht, The Netherlands. link
  • June 18th: De macht van data — Hoe algoritmen ons leven vormgeven, De Balie, Amsterdam, The Netherlands. link | video
  • June 16th: Entities of Interest — Discovery in Digital Traces PhD Defence, De Agnietenkapel, Amsterdam, The Netherlands. link | slides
  • May 9th: Data & Democracy: een nieuwe liefde?, De Nieuwe Liefde, Amsterdam, The Netherlands.
  • March 23rd: Data maken van nieuws, FD Mediagroep, Amsterdam, The Netherlands.


  • November 22nd: Big Data & Machine Learning – Mogelijkheden & Valkuilen, Koninklijke Marechaussee Intelligence Dag, Apeldoorn, The Netherlands. slides
  • πŸ‡¨πŸ‡¦ July 13th: Analyzing and Predicting Task Reminders, 24th Conference on User Modeling, Adaptation and Personalization (UMAP 2016), Halifax, Canada. slides
  • March 29th: Unpublished work, at internal ILPS group talk. Amsterdam.
  • πŸ‡ΊπŸ‡Έ February 25th: Dynamic Collective Entity Representations for Entity Ranking, The 9th ACM International Conference on Web Search and Data Mining (WSDM 2016), San Francisco, CA, USA. slides


  • December 22nd: Unpublished work, at internal ILPS group talk, University of Amsterdam.
  • November 27th: Dynamic Collective Entity Representations for Entity Ranking, The 14th Dutch-Belgian Information Retrieval Workshop (DIR 2015), Amsterdam. slides
  • πŸ‡ΊπŸ‡Έ October 16th: Final project presentation, CLUES group, Microsoft Research, Redmond, WA, US.
  • May 22nd: Semantic Search for E-Discovery, Bachelor Informatica Seminar, at University of Amsterdam.
  • May 19th:  Email forwarding prediction, at internal ILPS group talk, University of Amsterdam.
  • April 15th: Achter het Algoritme, Wat het internet voor jou verbergt, at BΓ¨taBreak. Amsterdam. video


  • December 12th: Understanding Email Traffic, at Frontiers of Forensic Science Lecture Series, Amsterdam, The Netherlands. slides
  • June 27th: Entity Linking (at SEA), at Search Engines Amsterdam (SEA), Amsterdam, The Netherlands. slides
  • June 12th: Semantic Search in E-Discovery / Understanding Email Traffic, at the E-Discovery NL Symposium 2014, Amsterdam, The Netherlands. slides | video
  • April 15th: Generating Pseudo-Ground Truth for Predicting New Concepts in Social Streams, at ECIR ’14, Amsterdam, The Netherlands. slides
  • March 27th: Semantic search in E-Discovery, at Open Minded, Leiden, The Netherlands.
  • πŸ‡ΊπŸ‡Έ February 22nd: Generating Pseudo-Ground Truth for Predicting New Concepts in Social Streams / Unpublished work, at CLIP talks, University of Maryland, Maryland, USA.


  • November 27th: yourHistory – entity linking for a personalized timeline of historic events, at ICT.OPEN 2013, Eindhoven, The Netherlands. slides
  • πŸ‡ΈπŸ‡ͺ September 12th: Semantic Linking and Contextualization for Social Forensic Text Analysis, at the Forensic Text Analysis Workshop at EISIC ’13, Uppsala, Sweden.


  • September 18th: Semantic Search in E-Discovery, at the NWO Forensic Science Symposium, Den Haag, The Netherlands. slides