Associate Professor in Machine Learning

Teaching

Causality and Machine Learning

Summer School, NORA Summer School, 2025

Organizer and lecturer for the summer school on causality. The course covers the foundation of probabilistic graphical models, causal models, causal inference and causal discovery.

Reinforcement Learning

Graduate course, University of Bergen, 2025

Lecturer for the course INF266 Reinforcement Learning. The course covers the foundation of Reinforcement Learning, from modelling with Markov Decision Processes to applications of Deep Reinforcement Learning.

Causality

Graduate course, University of Bergen, 2025

Lecturer for the reading course Z-INF Causality. The course covers the foundation of causal modelling, causal inference and causal discovery, and it provides insights into a few more advanced causal topics (e.g.: causal reinforcement learning or causal abstraction).

Reinforcement Learning

Graduate course, University of Bergen, 2024

Lecturer for the course INF368A Selected Topics in Machine Learning. The course covers the foundation of Reinforcement Learning, from modelling with Markov Decision Processes to applications of Deep Reinforcement Learning.

Introduction to Machine Learning with Python

Undergraduate and graduate course, OsloMet University, 2020

Guest lecturer for a class providing a brief introduction on the key concepts of machine learning and a short tutorial on using scikit-learn to instantiate models and train them.

Digital Biology

Undergraduate course, University of Manchester, 2015

Teaching assistance in Digital Biology