On the 14th of August 2017 Prof. Tsamardinos will give an invited talk at the 2017 ACM SIGKDD Workshop on Causal Discovery. Title: “Advances in Causal-Based Feature Selection” The talk will illustrate the past and explore the future of feature selection algorithms based on Causal Discovery theory. Link to the conference Abstract: Feature selection (a.k.a. […]
Gnosis Data Analysis, a University of Crete spin-off, is currently looking for a scientific programmer, a data analyst, and a developer with experience in artificial intelligence. Check out the announcements at http://www.gnosisda.gr/careers/
Our on-line service SCENERY is now featured in a new publication on Nucleic Acid Research. SCENERY allows researcher to apply (causal) network reconstruction methods to flow and mass cytometry data, in order to identify putative interactions across measured quantities (e.g., proteins). SCENERY can be accessed at scenery.csd.uoc.gr, while the new publication can be read here
With great pleasure we announce the second International Workshop on Computational methods for single-cell data. The event is invitation-only and is jointly hosted by the University of Crete in collaboration with the Karolinska Institutet and the University of Amsterdam under the aegis of the European Research Council (ERC). [see link]
On the 12th of May Dr. George Arabatzis, ETH-Zurich, will give the talk “Bayesian Uncertainty Quantification: Applications in Pharmacodynamics and Molecular Dynamics”. Time and place: 12:00 in room n. H204 (CSD building). Host: Dr. Yannis Pantazis.
Prof. Tsamardinos will give an invited talk during the 2nd international congress “Evolution and Cancer: Cancer across life. The congress will be held in the Vlatades monastery, Thessaloniki from the 29th June to 1st of July 2017 Title of the talk: “From human to artificial intelligence, to artificial intelligence for cancer research”
Prof. Tsamardinos gave an invited talk at the DALI 2017 meeting, held in Tenerife, Canary Islands, 18-20/4/2017. His talk focused on applying causal analysis on a complex biological problem, showing how the idiosyncrasies of real-world tasks can drive the development of new causal algorithms and approaches. Title: Causal Inference from Single Cell, Mass Cytometry Data: an Integrative […]