{"id":10112,"date":"2025-06-30T17:25:04","date_gmt":"2025-06-30T15:25:04","guid":{"rendered":"https:\/\/www.crs4.it\/people\/enrico-pieroni\/"},"modified":"2026-04-05T20:13:07","modified_gmt":"2026-04-05T18:13:07","slug":"enrico-pieroni","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/enrico-pieroni\/","title":{"rendered":"Enrico Pieroni"},"content":{"rendered":"

Enrico graduated in Physics from the University of Pisa in 1990, with a thesis on hardware and software for the SLD detector at Stanford. He then spent three years developing 2D-3D lattice Gross-Neveu models at the Theoretical Group in the Department of Physics, University of Pisa. In 1994, he joined CRS4, where he began working on parallel algorithms for supercomputing\/HPC and on models for the propagation and inversion of acoustic, elastic, and electromagnetic waves, with applications in geophysics (Agip, Unica) and biomedicine (ultrasound, Esaote).In 2005, he started collaborating with CRS4’s Systems Biology group, developing tools for the analysis of complex gene\/protein interaction networks and methodologies for reverse engineering microarray data. In 2008, he worked on data mining tools for constructing force fields for molecular dynamics, applying an original optimization approach adaptable to multiscale biological problems. This research led to a joint international patent on the prediction of molecular properties. In 2009, he contributed to developing an algorithm for haplotyping human mitochondrial DNA, deposited on SourceForge. In 2010, he briefly collaborated with the CRS4 AGCT group on parallelizing genotyping and data selection algorithms.Since 2005, his main interests have centered on computational chemistry and biophysics. In collaboration with the Binaghi Hospital in Cagliari, he developed molecular models of the immune system related to the onset of multiple sclerosis, and with the University of Cagliari, he worked on modeling inflammatory processes and potential drugs for Alzheimer’s treatment, as well as on painkillers, medications, and antivirals. More recently, he has focused on designing nanomaterials with biomedical and agri-food applications.Occasionally, he writes books, develops educational e-learning projects in physics, delivers seminars on medical devices, physics, computational modeling, and mathematics, and oversees and reviews ICT research and development projects in Italy and Europe. He has tutored two graduates, mentored a Ph.D. candidate, and served as a co-supervisor for both a master’s and a doctoral thesis. Enrico holds a Master’s degree in Bioinformatics and a Ph.D. in Biomedical Engineering.General bibliographical metrics and SCOPUS covered publicationsGeneral bibliographical metrics and ORCID covered publicationsHigh Energy Physics metricsHigh Energy Physics publications<\/p>\n","protected":false},"featured_media":4108,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10112","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Enrico","surname":"Pieroni","email":"ep@crs4.it","phone":"+39 070 9250355","user_uuid":"e3c425fa-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"https:\/\/scholar.google.com\/citations?user=RQpDKL4AAAAJ","position":"Researcher","microsoft_academic_id":"","project_coordinator":[{"ID":19787,"post_author":"4","post_date":"2025-07-03 18:20:28","post_date_gmt":"2025-07-03 16:20:28","post_content":"Innovation of products based on nanoparticles through waste from fish production, optimization of the process of surface treatment and preparation of the mixture and study of toxicity on humans and the environment.The research project aims to recover waste products from the agro-industrial chain, and enhance them through transformation into raw material for the production of innovative nanoparticle mixtures, able to improve adhesion to surfaces of a heterogeneous nature, tolerance to variations in environmental parameters and protection of the treated surface. In detail, it is intended to extract compounds derived from adhesion proteins from waste from the fish chain, to grind them and add them to mixtures of commercial nanoparticles. The mixtures thus obtained will then be functionally evaluated, experimentally characterized and simulated using the computer in order to assess their toxicity. At the end of the project, the mixture with the best characteristics will be selected, which will be the prototype for further future developments.","post_title":"Sa.No","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"sa-no","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:17","post_modified_gmt":"2026-04-02 10:34:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/sa-no\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19588,"post_author":"4","post_date":"2025-07-03 18:20:42","post_date_gmt":"2025-07-03 16:20:42","post_content":"Summer school \"Molecular Modeling: Real Applications and New Approaches\", 29th July- 2nd August 2019 - Pula, Sardinia - Italy.\nComputational molecular modeling (CMM) is world\/wide recognized as an important area of science, with applications to a wide spectrum of disciplines, including biomedicine, nutraceuticals, functional foods, physics, chemistry and biochemistry, materials science, nanosciences, energy and environmental sciences.\nCMM techniques have demonstrated in many years to be successful, leading to the development of computational models and to fast and accurate algorithms of increasing complexity. These techniques are currently used by many researchers all over the world, both in the academic and industrial context, contributing to create innovative products and understanding complex mechanisms, overall contributing to improve life quality and impacting traditional animal tests.\nThe School is targeted at students, graduate students, early-stage researchers, researchers, technologists and professionals in sectors as biomedicine, nutraceuticals, functional foods, physics, chemistry, biochemistry, materials science, nanosciences, energy and environmental sciences. Participants should have some basic domain background knowledge and an interest in molecular modeling, its operational methods, potentialities, limits and its integration with experimental data.\nFurther details at the web site http:\/\/cmm.crs4.it\/<\/a>","post_title":"MOL MOD SS","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"mol-mod-ss","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:28","post_modified_gmt":"2026-04-02 10:34:28","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/mol-mod-ss\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":12560,"post_author":"4","post_date":"2025-07-03 18:17:42","post_date_gmt":"2025-07-03 16:17:42","post_content":"H2UB is intended to be a Life Science infrastructure aimed at fostering new drug development through a network of laboratories capable of providing basic, translational and preclinical research support using cutting-edge technologies.\nGovernance of the Hub will be centralized and will provide support in regulatory, ethics and management, as well as organizational and dissemination. Expertise will be articulated in thematic platforms that will include:\n