Exploration is not just about going far, but also about going deep through study and research. True research never stops; it continues even when it seems that there is nothing left to discover.
Let us embrace these well-known aphorisms.
I am a Theoretical Physicist trained in Computer Science. I develop computational methods for inference, modelling, simulation and analysis of complex systems representable as dynamical networks.
I am focused on the mathematical formalization and the algorithmic procedures implementing efficient solutions for the identiafiability, the controllability, and the dynamics simulation of such systems.
The main goals of my research are
to understand the functional organization governing time and space evolution of such systems and predict their response to stimuli and perturbations
to unravel the mechanisms responsible for their emergent properties.
The main applicative domains of my studies are network biology, biochemistry, biological physics, microbiology, and synthetic biology.
As Senior Member of the Association for Computing Machinery (ACM), New York, USA, I am contributing to the organization and promotion of the scientific events of ACM in the fields of computational biology, artificial intelligence and applied computing.
Bioinformatics: from observation to data analysis , April 16 and April 30 2025.
P. Lecca, Informing the Neural Network Activation Function with Graph Centrality Measures: the Case Study of Oscillating Chemical Reaction Simulation. In: Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science – ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15907. Springer, Cham, 2025. https://doi.org/10.1007/978-3-031-97554-7_2
P. Lecca, A. Re, Determination of the latent geometry of atorvastatin pharmacokinetics by transfer entropy to identify bottlenecks, BMC Pharmacol Toxicol 26 (Suppl 1), 123 (2025). https://doi.org/10.1186/s40360-025-00948-6.
P. Lecca, Guidelines to design the architecture of Artificial Neural Networks for application in physical chemistry, Journal of Physics: Conference Series, Volume 3027, 13th International Conference on Mathematical Modeling in Physical Sciences 30/09/2024 - 03/10/2024 Kalamata, Greece.
P. Lecca, Network theory in support of climate change studies: analysis of temperature anomalies, Journal of Physics: Conference Series, Volume 3027, 13th International Conference on Mathematical Modeling in Physical Sciences 30/09/2024 - 03/10/2024 Kalamata, Greece.
P. Lecca, Identifiability and Regression Analysis of Biological Systems Models, Statistical and Mathematical Foundations and R Scripts , SpringerBriefs in Statistics, Second Edition , 2024.
Big Data Analysis and Artificial Intelligence for Medical Sciences , Wiley & Sons, Eds: B. Carpentieri, P. Lecca, 2024
As a guest editor of Frontiers in Bioinformatics, I announce that the Research Topics Expert Opinions in Network bioinformatics: 2022 has been finalized.
AI in Healthcare: Revolutionizing Brain Tumour Detection
Joining the dots: How gene regulatory network tools are unearthing drugs, Globaldata, Pharmaceutical Technology, October 4, 2022.
Article published in the eBook edited by Spyros Petrakis, Miguel A. Andrade-Navarro: "Protein interaction networks in health and disease".
Article published in the eBook edited by Imrich Barak, Neil Fairweather, Simon Michael Cutting, Ezio Ricca, Ivan Mijakovic: "Spores and spore formers".
Data4SmartHealth 2024 , 28 November 2024, Free University of Bozen-Bolzano, Italy (organizers: Floriano Zini and Paola Lecca, Unibz, Italy).
Technical Program Committee member of International Workshop on Foundations of Network Analysis, held in conjunction with IEEE BIBM 2024, Lisbon, Portugal, December 3-6, 2024
Techincal Program Committee member of 16th IEEE International Conference on Knowledge, and Systems Engineering (KSE 2024), Eastin Hotel Kuala Lumpur, Malaysia 5 – 7, November 2024.
Thesis available (click here for more information).