Several contractual positions are open for our ERC Consolidator Grant that kicked off January 1st, 2015 and will run for the next 3 years. The grant is entitled “CAUSALPATH: Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data“. ERC grants are prestigious European research programs that support scientific excellence and provide research autonomy and flexibility. The grant’s goals are: (a) basic research on causal discovery, causal analysis, and causal modeling, (b) application on de novo inducing signal pathways from mass cytometry data, and (c) design of automated tools for causal discovery and signal pathways. CAUSALPATH is coordinated by our group in the Computer Science Department of University of Crete in collaboration with the Computational Medicine Unit in Karolinska Insitutet. Our group is highly multi-disciplinary and multi-national focusing on data analysis and machine learning with an emphasis on biomedical data.
Further information can be found in the attached calls for expression of interest.
Prof Tsamardinos will present two new scientific works at The 2017 ACM SIGKDD Workshop on Causal Discovery, Halifax, Nova Scotia, Canada, Aug 14, 2017 – Aug 14, 2017:
Tsagris M., Borboudakis G., Lagani V. and Tsamardinos I. (2017). Constraint-based Causal Discovery with Mixed Data. 2017 ACM SIGKDD Workshop on Causal Discovery.
Tsirlis K., Lagani V., Triantafillou S., Tsamardinos I.(2017 ). On Scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing Algorithm. 2017 ACM SIGKDD Workshop on Causal Discovery.