Academic Work

Teaching Activities:

  • Guest Lecturer on the Interpretability and Actionability – Counterfactual Explanations topic for the Research Topics in Data Science (DAMI II) course, 2023.
  • Master/Bachelor thesis supervision (3 MSc theses and 3 BSc theses), DSV, Stockholm University, 2022-Present.
  • Teaching assistant for the Research Topics in Data Science (DAMI II) course, 2022-Present.
  • Computer lab assistant for courses as follows, Linköping University, 2017-2018:
    • 732A95 (Introduction to Machine Learning)
    • TBMI26 (Neural Network and Learning Systems)
    • 732A90 (Computational Statistics)

Conference Presentations (online):

  • DS 2021 – ‘Learning Time Series Counterfactuals via Latent Space Representations’
  • AIME 2021 – ‘Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients’ (Best Student Paper Award)

Research Projects:

  • EXTREMUM: Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources (ongoing)