Supervision

PhD Supervision

• Thorir Hrafn Hardarson, Causal Reinforcement Learning (2025-)
• Willem Theodorus Schooltink, Causal Abstraction (2024-)

PhD Co-Supervision

• Marius Binner, Mechanistic Interpretability (2026-) co-supervisor with Jan Arne Telle)
• Jørgen Mjaaseth, Symbolic and Hierarchical Reinforcement Learning (2026-) (co-supervisor with Pekka Parviainen and Lars-Kristian Trellevik)
• Yorgos Felekis, Learning Causal Abstractions (2023-) (co-supervisor with Theo Damoulas)

Project Supervision

• C.A. Slettebø, Interventional Causal Discovery on Lithium-ion batteries, MSc dissertation at the University of Bergen, 2026
• A.E. Ingebrigtsen, Piecewise-stationary Causal Bandits, MSc dissertation at the University of Bergen, 2026
• S.R. Eimhjellen, Passenger Alighting Estimation using Optimal Transport, MSc dissertation at the University of Bergen, 2026
• A. Akhtar, Testing Predictive Power of Mapper Algorithm Variant on Multi-Agent Simulation Trajectories MSc dissertation at the University of Bergen, 2026
• S. Andreassen, Training Autonomous Penetration Testing Agents Through Hierarchical Action Abstractions, MSc dissertation at the University of Bergen, 2026
• S. Vedaa, Understanding the effects of using regime detection as a signal for reinforcement learning in quantitative trading, MSc dissertation at the University of Bergen, 2026
• J. Storum, Exploring the benefits of known evaluators in robust RLHF, MSc dissertation at the University of Bergen, 2025
• K. Nore, Hierarchically Guided Reinforcement Learning Using Waypoints Sampled From Expert Trajectories, MSc dissertation at the University of Bergen, 2025
• S. Håland, Exploring and Comparing Quantum Causal Model Frameworks to Classical Causal Models, MSc dissertation at the University of Bergen, 2025
• S. Huber, Accelerating the Green Transition: A Scaleable System for CSRD-Compliant Sustainability Reporting, MSc dissertation at the University of Bergen, 2025
• S. Krempasky, MCTS-Based Learning in Competitive Multi-Agent Settings: Experiments on Four-Player Chess, MSc dissertation at the University of Bergen, 2025
• J.R. Land, Reward Design and Self-Play for Deep Reinforcement Learning in Hydropower Scheduling, MSc dissertation at the University of Bergen, 2025
• A. Heiret, Learning Structural Equations in Causal Abstraction, MSc dissertation at the University of Bergen, 2025
• M. Dravucz, Jointly Learning Consistent Causal Abstraction Over Multiple Interventional Distributions, MSc by research at the University of Warwick, 2022
• M. Heggem, Graph Neural Networks to Process Threat Data, MSc dissertation at the University of Oslo, 2022
• W. Arild Dahl, Malware Detection using Recurrent Neural Networks, MSc dissertation at the University of Oslo, 2020
• S. Waisi, Analyzing AI Safety Problems in Reinforcement Learning, MSc dissertation at the University of Oslo, 2020
• M. Nini, Speech Emotion Recognition via Covariate Shift Adaptation, MSc dissertation at the University of Manchester, 2016

Advisory Supervision

• K.M. Tofte, Evaluating a Hybrid Model Combining Isolation Forest and Random Forest Model for Network Intrusion Detection, MSc dissertation at the University of Bergen, 2026 (co-supervisor with Nikolay Stoyanov Kaleyski)
• J.K. Lysne, Robust Multimodal Depression Detection from Acoustic and Visual Time-Series Features Using Temporal Deep Learning , MSc dissertation at the University of Bergen, 2026 (co-supervisor with Allah Bux)
• D. Mihio, Robust 3D Head Pose Estimation in Sign Language Videos: Addressing Hand Occlusion and Extreme Viewing Angles, MSc dissertation at the University of Bergen, 2026 (co-supervisor with Allah Bux)
• B. Aasen, Concept Bottleneck Models Under Imperfect Lesion Localisation for Mammographic BI-RADS Classification, MSc dissertation at the University of Bergen, 2026 (co-supervisor with Allah Bux)
• L. Padmore, Learning Abstractions in Causally Abstracted Multi-Armed Bandits, MSc dissertation at the University of Warwick, 2025 (co-supervisor with Theo Damoulas)
• A. Wang-Hansen, Fair Automated Decision-making, MSc dissertation at the University of Oslo, 2020 (co-supervisor with Vasileios Mavroeidis)
• A. Egiazarov, Firearm Detection Through Component Decomposition, MSc dissertation at the University of Oslo, 2019 (co-supervisor with Allah Bux)
• L. Parker, Wind Power Predictions for Norwegian Wind Farms with Machine Learning, MSc dissertation at the University of Oslo, 2019
• S. Berdal, A Holistic Approach to Insider Threat Detection, MSc dissertation at the University of Oslo, 2018

PhD Revision

• R. Massidda, Methodological advancements for causal abstraction learning, PhD dissertation at the University of Pisa, 2024

MSc Revision

• W. Wale, Creating Fully Recurrent Reasoning Models with Evolutionary Strategies, MSc dissertation at the University of Bergen, 2026
• S.S. Torkildsen, Learning Bayesian networks with ancestral constraints, MSc dissertation at the University of Bergen, 2026
• K.J.S. Velde, Investigating Reward Machines in Continual Reinforcement Learning, MSc dissertation at the University of Oslo, 2026
• M. Lepsøy, Prompting and Causal Fallacy Detection in Large Language Models, MSc dissertation at the University of Bergen, 2026
• A. Hatland, Predicting Future States and Events for Deep Reinforcement Learning Policies, MSc dissertation at the University of Oslo, 2025
• N. Engh, Deep Learning for Peripherin Prediction in Breast Cancer Imaging Mass Cytometry, MSc dissertation at the University of Bergen, 2025
• T.S. Auren, Approximating a combinatorial problem with reinforcement learning and a physics engine, MSc dissertation at the University of Oslo, 2025
• M. Binner, Analyzing indirect object identification circuits in TinyStories-8M, MSc dissertation at the University of Bergen, 2024
• A.S. Alfnes, Fine-Tuning Large Language Models: Assessing Memorization and Redaction of Personally Identifiable Information, MSc dissertation at the BI Oslo, 2024
• C.G. Devis, Stem cell identification via RNA sequencing in breast cancer, MSc dissertation at the University of Bergen, 2024
• P.W. Temmerud, Quality Assurance of Medical Mass Spectrometry with Artificial Intelligence, MSc dissertation at the University of Bergen, 2024
• B.M. Aas, Minding the Gaps, MSc dissertation at the University of Oslo, 2024
• K.F. Orten, Exploring Dual-System Reasoning through Model-Free and Model-Based RL, MSc dissertation at the University of Oslo, 2024
• W. Schooltink, Topological Regularization of Support Vector Machines, MSc dissertation at the University of Bergen, 2023
• A.L. Henriksen, Learning Acquisition Functions for Cost-aware Bayesian Optimization, MSc dissertation at the University of Bergen, 2023
• D. Kocan, Attention-Guided Explainable Reinforcement Learning, MSc dissertation at the University of Oslo, 2023
• E.B. Taye, Accountability Module: Increasing Trust in Reinforcement Learning Agents, MSc dissertation at the University of Oslo, 2023
• A. Chaudhary and A. Sinha, Enterprises’ procurement data classification and spend visibility, MSc dissertation at BI Oslo, 2022
• M.K. Berntsen, Biological Analogies in Malware: Proposing a Phylogenetics-Inspired System for Malware Research, MSc dissertation at the University of Oslo, 2020
• I. Ytrehus, Detecting Buffer Overflows using Python, MSc dissertation at the University of Oslo, 2020
• T.F. Lyseggen, Keystroke as a Biometric for Authentication, MSc dissertation at the University of Oslo, 2019