Welcome Ammar!

A warm welcome to Ammar Malik who has joined the group as a PhD student. Ammar has a degree in Computer Engineering and brings with him a lot of experience in machine learning. Welcome!

Postdoc position available

A postdoc position is available in my group, to develop machine learning methods for inferring causal gene networks from genome, epigenome and transcriptome sequencing data. For more information and application instructions, see here.

Bayesian network preprint

A new preprint, “High-dimensional Bayesian network inference from systems genetics data using genetic node ordering”, is available on bioRxiv. Bayesian networks are statistical models for gene regulatory networks, and their inference from large-scale omics data is a major problem in systems genetics. In this paper we present an algorithm to solve this problem that uses causal inference, topological sorting and variable selection, and that is much more efficient than traditional Markov chain Monte Carlo algorithms. The algorithm is implemented in the Findr and lassopv software packages.

4 PhD positions in computer science

Four PhD positions in computer science are available at the Department of Informatics. These positions can be held in any of the department’s research areas (algorithms, bioinformatics, machine learning, optimization, programming theory, security, and visualization). Applicants with an interest in computational biology and machine learning are welcome to contact me prior to submitting their application.

For more details and application instructions, see here.