Computational Biology


Piero Fariselli

Research topic

Computational Biology.The research activity concerns the application and development of mathematical models and algorithms to tackle problems of interests in Biology, Biomedicine and Biophysics. In particular, the research  addresses the annotation and the prediction of the structure and function of biological molecules, their interactions, and the effects of their variations on the studied systems, that can be networks of molecules, cells or organisms.

Machine learning. The research tries to solve problems where direct methods are not known, or their solutions are infeasible. In this cases, machine-learning models are used, or specifically developed for the problem at hand. The methods include, but are not limited to, Neural Networks (deep, and shallow), Extreme Learning Machines, and probabilistic models, such as Hidden Markov Models ad Conditional Random Fields.