Fredrik Lundvall Wollbraaten

Academic interests

  • Applied Bayesian methods

Background

I have just finished a master thesis at the University of Oslo in the statistics department under the supervision of professor Geir Olve Storvik. We studied methods to parallellize MCMC-simulations in a Bayesian setting. Before the master thesis, I spent my first two years of study at NTNU before transferring to UiO to complete a Bachelor degree in mathematics.

In my PhD position I will continue under the supervision of professor Geir Olve Storvik, in collaboration with professor Ingrid Glad and associate professor Morten Stakkeland from ABB, within the Big Insight group. The position is devoted to sequential learning and decision based on sensor data from maritime (ship) data. Learning or decisions to be made can be failure detection or rules for maintenance. Methodological development will include both model building and developing inferential tools, including computational methods.

Otherwise I enjoy playing football with the Oslo Sports Student Association (OSI), and work-wise I have experience in an AI-startup (RagnaRock Geo) and financial markets (equity research analyst at SpareBank 1 Markets, Data Scientist at Nordea Markets).

 

Tags: Bayesian Statistics, Computational Statistics, statistics and data science

Publications

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Published Oct. 14, 2020 1:21 PM - Last modified Sep. 22, 2023 1:09 PM