Andreas Lindholm (né Svensson)
I am a PostDoc at the department of Information Technology, working with Thomas Schön. My research interests are machine learning and computational statistics (with emphasis on Monte Carlo methods) for learning models of dynamical systems, and applications thereof. Please use the left menu to navigate on this page, or contact me at firstname.lastname@example.org.
(Until 2018, my family name was Svensson)
- I successfully defended my PhD thesis "Machine learning with state-space models, Gaussian processes and Monte Carlo methods" on October 12, 2018 with prof. Carl Rasmussen (Cambridge university) as faculty opponent. The thesis is available here.
- My licentiate thesis (presented on December 16, 2016) is available here