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Statistics help

Struggling to design an experiment or make sense of your data? Can’t decide what analysis is best? Lost in the woods trying to get your model to run or interpret the results? Contact the Biology Statistics Help Service!

We are a team of researchers, postdocs, and faculty members available to all at the Department of Biology for research-related statistical consultation.

The Statistic service is free of charge, but we appreciate acknowledgements by name if our help improves work that is eventually published. Should a question require further analysis, complex modelling, or other extraordinary efforts, we can assist in forwarding the question to a suitable specialist.

The team consists of fellow biologists with a strong background in various areas of statistics and quantitative biology and a passion for working with students and colleagues to understand statistical issues connected to biological research. We also hold public seminars each semester to present and discuss frequently encountered statistical questions or methods.

Meet the team

Headshot of Colin Olito. Photo.

Colin Olito

Coordinator of the statistics help
Areas of expertise: Generalised linear and mixed-effects models, bayesian mixed-effects regression, population genetics, and network analyses. Also, mathematical modelling and evolutionary theory.
Head shot of Maja Tarka. Photo.

Maja Tarka

Areas of expertise: Linear and mixed-effects models, empirical data, Quantitative Genetics, uni- and multivariate animal models.
Portrait of Nikoloay Oskolkov. Photo.

Nikolay Oskolkov

Co-coordinator of the statistics help
Areas of expertise: Data science, bioinformatics, and machine learning.
Head shot of Rachel Steward. Photo.

Rachel Steward

Areas of expertise: Generalised linear and mixed effect models, bayesian GLMs including animal models, population genetics/genomics.
A person is holding an animal skeleton. Photo.

Masahito Tsuboi

Areas of expertise: Multivariate statistics, geometric morphometrics, phylogenetic comparative methods, measurement theory.
Portrait of Katrine Lund-Hansen. Photo.

Katrine Lund-Hansen

Areas of expertise: Linear and mixed-effects models, empirical data management in R.
Portrait of Gabriel Norevik. Photo.

Gabriel Norevik

Areas of expertise: Linear and mixed-effects models, Spatial data handling and GIS in R.
Portrait of Whei-yen Chen. Photo.

Hwei-yen Chen

Areas of Expertise: GLMMs, data management, and plotting in R (ggplot).


The service is open every Tuesday during academic terms, where at least one team member is available for consultation in the Ecology Building 2nd floor tearoom, or digitally via Zoom (see departmental calendar).

Appointments can be pre-booked by email (stats [dot] help [at] biol [dot] lu [dot] se), or you can just drop in at the next session.