Academic interests
At a general level, my research interests are focused around the development of statistical and machine learning methods. Some key topics are:
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Statistical machine learning
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Probabilistic graphical models
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Causal learning
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Statistical genomics
Background
I completed my PhD in statistics in 2016 at Åbo Akademi University (Finland), in which I developed a new class of probabilistic graphical models, along with algorithms for learning the structure of the models from data. During 2016-2020, I worked as a postdoc at University of Helsinki (Finland), developing and applying data analysis tools, primarily for applications in bacterial statistical genomics. Since February 2020, I have been working at UiO as an Associate Professor in Statistics and Data Science.
Teaching
- STK4141 - Probabilistic graphical models (Spring 2024)
- STK-IN4300 - Statistical Learning Methods in Data Science (Autumn 2023)
- STK4011 - Statistical Inference Theory (Autumn 2020-22)
- STK4290 - Probabilistic Graphical Models (Spring 2021-23)
Supervision (PhD students)
Main supervisor:
- Anders Hjort (Department of Mathematics, Eiendomsverdi AS, 2020-): Uncertainty in house price prediction (Industrial PhD)
- Vera Kvisgaard (Department of Mathematics, 2021-): Bayesian estimation of causal effects using directed graphical models
- Johan de Aguas (Department of Mathematics, Norwegian Institute of Public Health, 2022-): A Bayesian model-averaging toolkit for causal inference with observational data under nonlinear structural equations: An application to the effect of ADHD treatment on school performance by Norwegian children
Co-supervisor:
- Juri Kuronen (Department of Biostatistics, 2018-): High-dimensional structure learning of Markov networks with applications in bacterial statistical genomics
- Ghadi Al Hajj (Department of Informatics, 2020-): Improving generalization of machine learning models in medical image and immune receptor sequence analysis through the incorporation of domain priors and constraints
- Claudio Meggio (Department of Mathematics, CompSci, 2021-): Statistical learning methods for chemistry applications
An overview of available Master's thesis projects can be found here.
Awards
Finnish Statistical Society - Doctoral Thesis Award (2013-2016).
Publications
For a complete list, see my profile at Google Scholar.