Courses

I am currenly employed at the University of Copenhagen with special teaching duties for industry courses. If you are a public or a private entity in Denmark that would like to learn more about Data Science, Machine Learning, and Language Models, etc., please, reach out.

  • 2025- Fair and Transparent Machine Learning, MSc course, University of Copenhagen, course responsible
  • 2022-2023 Fair and Transparent Machine Learning, MSc course, University of Copenhagen, preparation of lecture materials and teaching
  • 2021-2021 Advanced Language Processing Winter School, Explainable AI track, preparation of lab materials and leading lab sessions (code)
  • 2019-2022 Introduction to Natural Language Processing, MSc course, University of Copenhagen, preparation of lab materials and leading lab sessions (code)
  • 2019-2019 Workshop "Introduction to Machine Learning For Developers", preparation of lecture materials and teaching
  • 2016-2018 Information Retrieval, MSc course, Sofia University "St. Kl. Ohridski", preparation of lab materials and leading lab sessions (code)
  • 2016-2017 Natural Language Processing, MSc course, Sofia University "St. Kl. Ohridski", preparation of lab materials and leading lab sessions
  • 2016-2017 Data Mining, MSc course, Sofia University "St. Kl. Ohridski", preparation of lab materials and leading lab sessions
  • 2016-2017 Artificial Intelligence, BSc course, Sofia University "St. Kl. Ohridski", preparation of lab materials and leading lab sessions
  • 2012-2013 Object-Oriented Programming and Data Structures, BSc course, Sofia University "St. Kl. Ohridski", preparation of lab materials and leading lab sessions
  • 2012-2013 Introduction to Programming, BSc course, Sofia University "St. Kl. Ohridski", preparation of lab materials and leading lab sessions

Student Supervision

PhD students:

  • Sekh Mainul Islam, PhD student, ERC Starting Grant project ExplainYourself on 'Explainable and Robust Automatic Fact Checking', co-supervised with Isabelle Augenstein, 2024-
  • Jingyi Sun, PhD student, ERC Starting Grant project ExplainYourself on 'Explainable and Robust Automatic Fact Checking', co-supervised with Isabelle Augenstein, 2023-
  • Haeun Yu, PhD Student, ERC Starting Grant project ExplainYourself on 'Explainable and Robust Automatic Fact Checking', co-supervised with Isabelle Augenstein, 2023-

Bachelor and Masters students:

  • Yingming Wang, Master in Computer Science student at the University of Copenhagen, 2024-2025, "Self-Critique and Refinement for Faithful Natural Language Explanations", preprint
  • Emma Høst Fowler, BSc in Computer Science student at the University of Copenhagen, "An investigation of faithfulness of natural language explanations in LLMs with varying rates of hallucination", 2024
  • Nikolaj Højer, BSc in Computer Science student at the University of Copenhagen, "An Evaluation of Explainability Techniques for Sentiment Analysis", co-supervised with Isabelle Augenstein, 2021
  • Wojciech Ostrowski, MSc in Computer Science student at the University of Copenhagen, "Generating Fact-Checking Explanations", co-supervised with Isabelle Augenstein, 2020. MSc thesis published at IJCAI 2021.