2024
- Teaching Assistant: Machine Learning (VT 2024), M. Sc. Course, Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden. Direct supervisor: Professor Panagiotis Papapetrou.
2023
- Master Thesis Main Supervisor: Master thesis title: Image Counterfactual Explanations using Deep Generative Adversarial Networks. (15 ECTS). Supervised students: Ning Wang.
- Master Thesis Main Supervisor: Master thesis title: A Distance Measure For Both Continuous and Categorical features in a Data Vector. (30 ECTS). Supervised students: Salam Hilmi, Elina Zake.
- Master Thesis Main Supervisor: Master thesis title: Application of Inherently Interpretable, Highly Accurate Machine Learning. (30 ECTS). Supervised students: Maria Luiza Chirita, Bernardo Cunha de Miranda.
- Master Thesis Main Supervisor: Master thesis title: Developing a Highly Accurate, Locally Interpretable Neural Network for Medical Image Analysis (30 ECTS). Supervised student: Rony Ventura.
- Master Thesis Main Supervisor: Master thesis title: Improving XAI Explanations for Clinical DecisionMaking – the Physicians’ Perspective (30 ECTS). Supervised student: Ulf Lesley.
- Teaching Assistant: Principles and Foundations of Artificial Intelligence (HT 2023), M. Sc. Course, Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden. Direct supervisor: Tony Lindgren, Ph.D.
2022
- Master Thesis Co-supervisor: Master thesis title: Design of an Interpretability Measuring Scale (30 ECTS). Supervised students: Tauri Viil. Main supervisor: Jaakko Hollmén, Ph.D.
- Master Thesis Co-supervisor: Master thesis title: Discovering Characteristics and Actionable Features for the Prevention of Cancer (30 ECTS). Supervised students: Sigrid Sandström. Main supervisor: Jaakko Hollmén, Ph.D.
- Teaching Assistant: Programming for Data Science (HT 2022), M. Sc. Course, Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden. Direct supervisor: Jaakko Hollmén, Ph.D.
2021
- Master Thesis Co-supervisor: Master thesis title: Specifying and Weighting Criteria to Choose a Long-Term Romantic Partner (30 ECTS). Supervised students: Maria de las Mercedes Contreras Arteaga, Katrina Marie Novakovic. Main supervisor: Sindri Magnússon, Ph.D.
- Master Thesis Co-supervisor: Master thesis title: Machine Learning post-hoc, model-agnostic interpretable algorithm comparison (30 ECTS). Supervised student: Nina Brudermanns. Main supervisor: Jaakko Hollmén, Ph.D.
- Teaching Assistant: Programming for Data Science (HT 2021), M. Sc. Course, Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden. Direct supervisor: Jaakko Hollmén, Ph.D.
2020
- Teaching Assistant: Programming for Data Science (HT 2020), M. Sc. Course, Department of Computer and Systems Sciences, Faculty of Social Sciences, Stockholm University, Sweden. Direct supervisor: Jaakko Hollmén, Ph.D.
2018
- Teaching Assistant: Robust Mechatronics, M.Sc. Course, Department of Machine Design, School of Industrial Engineering and Management, KTH – Royal Institute of Technology, Sweden. Direct supervisor: Mikael Hellgren, Ph.D.