Teaching

Courses

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

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-
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.