Profile
Viktor Jonsson grew up on a farm in the deep forests of northern Dalsland. 30+ years later he has put tractors on hold and turned into a biostatistician with a broad interest in statistical modelling and drawing conclusions from real data. He began his scientific career in Gothenburg where he did a PhD in mathematical statistics developing and testing methods for analysing metagenomes, finishing in 2017. This was followed by two years working for the Swedish National Bioinformatics Infrastructure analysing data from a wide range of sources. Finally, he joined IceLab in the summer of 2019 where he is to apply network tools to decipher the regulatory responses in plants under stress.
When not at IceLab Viktor can be found on the night train between Gothenburg and Umeå or with a hammer in hand doing home improvements in Gothenburg. If you would like to strike up a conversation with him topics ranging from psychology and the state of democracy to contemporary dance and opera all would be a good start.
Current Projects
The Latest Posts
This Icelabber hasn’t written anything yet, read our other posts while you wait!
Zero-crossing statistics: keep the bridge from falling down
Zero-crossing statistics for non-Markovian time series The problem A bridge subjected to irregular loads will gradually be damaged. If it is not maintained, disastrous consequences will follow. It’s important, then, [...]
The Problem with Scientific Journal Ranking
There's a Problem With The Way We Rank Scientific Journals by Ludvig Bohlin The research community has passed the 50 million mark in terms of the total number of science [...]
Different pressures in different places
Different pressures in different places: a new method to track evolution across variable environments by Jonas Wickman The problem Evolution – or, as many people understand it, survival of [...]
Memory in Network Flows
Memory in network flows and its effects on spreading dynamics and community detection The problem In today's connected world, pressing problems call for efficient mapping and modeling of flow pathways [...]