Computational Aproaches To Biological Networks

Nowadays, data needed to be stored, scaled and analyzed is increasing rapidly in more and more research areas like biology, sociology, telecommunication, etc. Because of the limited information about them, their understanding was made difficult and, as a result, advancing in many fields faced with such complex systems was hindered. Using data analysis systems like networks makes all these issues have a smooth solution. The results obtained in trying to perceive such complex metters by using this technique is admirable. More and more research areas like the ones named before have known beautiful progress in understanding the complex way they operate.

Autorentext

Education: Master in Distributed Systems in Internet (2012 present) and Bachelor of Computer Science (2009 - 2012), Department of Computer Science, Babes-Bolyai University, Cluj-Napoca. Work experience: Software engineer, LiveRail Romania (November, 2012 July, 2013) and TSE Development Romania as Part of Betfair (July, 2013-present)