Identifiability and Regression Analysis of Biological Systems Models

Paola Lecca is a Theoretical Physicist trained in Computer Science and Telecommunications, with a long teaching experience at university level in mathematical analysis, probability and statistics. Dr. Lecca is Assistant Professor at the Faculty of Engineering of the Free University of Bozen-Bolzano, where she carries out research activities in the fields of graph theory, modelling and analysis of dynamic networks, statistical inference, mainly in the application domains of bioinformatics, computational biology, biophysics and drug development. Alongside her research activities, Paola Lecca carries out technology transfer activities at the Smart Data Factory laboratory of the Faculty of Engineering at the University of Bolzano-Bozen to promote the results of technological advances and transfer them from academia to industry. Dr. Lecca is a member of various national and international centres and institutions. She is member of the Advisory Board of the AIR Institute (International Research Institute Foundation for Artificial Intelligence and Computer, Salamanca, Spain). She is Senior Professional  Member of Association for Computing Machinery (New York USA), where she contributes to the development and dissemination of numerical methods for high performing software for complex dynamical network simulation. Dr. Lecca is also a member of National Institute of High Mathematics ‘Francesco Severi’ (Rome, Italy) and Italian Society of Pure and Applied Biophysics. Dr. Lecca has authored over a hundred articles in international scientific journals and conference proceedings in computational biology, biophysics and applied mathematics, and carries on an intense editorial activity for various international journals and publishing houses.

• - 1. Complex Systems, Data and Inference.- 2. Dynamic Models.- 3. Model Identifiability.- 4. Regression and Variable Selection.- 5. Parameter Estimation using Artificial Intelligence.- 6. R Scripts.