About me

I am a doctoral student at the Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, with my advisor Rebecka Jörnsten.

My research addresses aspects of unsupervised exploratory analysis for biomedical data. Most of the data considered in my PhD project comes from the domain of braincancer research. The methodological focus of my work has been on

  • Integrated analysis of multiple data sources through joint matrix factorisation, with emphasis on flexibility, scalability, and interpretability.
  • Integrated gene clustering and regulatory program estimation.

Previously, I worked with dynamical models of pharmacological process and parameter estimation in both frequentist and Bayesian settings.




I was responsible for the lectures and course coordination for

and did a lot of teaching assistance (e.g. holding exercise classes, correcting submissions) over the years since 2011. Examples of subjects I was involved in are

Mathematical Statistics, Probability Theory, Linear Algebra, and Calculus.

I supervised the following students during their master thesis projects

Extra-curricular activities

Co-founder and organiser for a workshop on Modelling in Biology and Medicine

  • [2020] Workshop held digitally (30+ participants, see recording on YouTube)
  • [2019] Workshop held at the Wallenberg Conference Centre in Gothenburg, Sweden (60+ participants)

Member of organising committee for

  • [2019] a poster conference for doctoral students at the University of Gothenburg

R package maintainer

  • [Since 2023] scregclust package (GitHub). Authors: Felix Held, Ida Larsson, Sven Nelander
  • [Since 2022] mmpca package (CRAN or GitHub). Original author: Jonatan Kallus
  • [Since 2020] CMF package (CRAN or GitHub). Original authors: Arto Klami and Lauri Väre

Other activities

  • [2020-2022] Chair of the PhD Student Council at the Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg (GU)
  • [2018–2021] Member of the PhD Student Council and Research and Education Committee at the Department of Mathematical Sciences, Chalmers and GU


Peer-reviewed articles


Talks & Posters

Invited Talks

Research Presentations

  • [June 2023] Simultaneous gene clustering and regulatory program reconstruction reveals insight into the phenotypic plasticity of neural cancers. Gothenburg Statistics Seminar, Gothenburg, Sweden
  • [November 2019] Scalable integration of sparse data sources. Workshop in Data Science, Halden, Norway


  • [June 2019] A challenge model of TNFα turnover with LPS provocations and drug intervention. PAGE Meeting 2019, Stockholm, Sweden
  • [May 2018] Bayesian hierarchical model of oscillatory cortisol response during drug intervention. PAGE Meeting 2018, Montreux, Switzerland