Tommi Mäklin

Doctoral student in Computer Science at the University of Helsinki
mail:    phone: +358449800114

Hi, my name is Tommi Mäklin. I’m currently working towards a PhD in computer science (computational biology, Bayesian statistics, and bioinformatics) at the Helsinki Institute for Information Technology of the University of Helsinki, Finland, where I develop probabilistic models for bacterial (meta)genomics. My research aims to study microbial community dynamics and host-pathogen interactions from bacterial cultures containing multiple strains or species through the use of high-throughput DNA sequencing data. Our focus is on common human pathogens, their antibiotic resistant variants, and the evolution of the beneficial human microbiome in the presence and absence of antibiotic treatment. We mostly work with sequencing data from developing countries and western hospitals.

In addition to my research work, I teach statistics and machine learning to Finnish private and public sector organisations as an independent consultant and serve as the chair of the University of Helsinki PhD students' association, and as the secretary of both the Finnish Statistical Society and the Finnish Society for Bioinformatics. I'm also one of the organisers of the annual Helsinki Data Science Day - a networking and recruiting event that engages the data science community of Finland in both universities and corporations.

My up-to-date CV is available here.



High-resolution sweep metagenomics using fast probabilistic inference
T. Mäklin, T. Kallonen, S. Davi, C.J. Boinett, B. Pascoe, G. Méric, D. M. Aanensen, E. J. Feil, S. Baker, J. Parkhill, S. K. Sheppard, J. Corander, and A. Honkela.
Wellcome Open Research (awaiting peer review) (2020).

Book chapters

Identifying Bacterial Strains from Sequencing Data
T. Mäklin, J. Corander, and A. Honkela.
Data Mining for Systems Biology, pp. 1-7, Humana Press, New York, NY (2018).


The best way to contact me is by email, by phone at +358449800114, or through Twitter.