When gathering extremely large amount of data, conventional visualization and analytical tools fail simply because of the sheer size of the dataset. Paolo Boldi and Sebastiano Vigna have developed innovative compression algorithms to overcome the challenge.
Extracting useful information by integrating biomedical data coming from different sources is hampered by batch effects: Slight differences in protocols and experimental methods can hide the biological signal. Caterina La Porta and Stefano Zapperi have developed efficient tools for batch effect removal and dimensional reduction for transcriptomic data, leading to the discovery of new potential targets.
Design of new molecules can now be boosted by computational methods. Alessandra Micheletti has developed methods based on topological data analysis to discover target sites on proteins. Caterina La Porta and Stefano Zapperi use artificial intelligence to discover new targtes from data.
“Where do great ideas come from?” Vittorio Loreto explored mathematical schemes that explain the birth of innovations. Luciano Pilotti and Luigi Orsi developed management strategies to boost innovation in small and medium enterprises using networking and ecological processes to explore knowledge hybridization among multiple new fields of work, research, consumer behaviour and industry.
It is hard to treat efficiently large datasets of geolocalized data. Giacomo Aletti developed efficient algorithms to reconstruct the connection networks for geolocalized data with great precision and quality control.
In natural or social phenomena, processes often interact across different spatio-temporal scales. Giovanni Naldi has developed numerical methods for biological activities across scales, from proteins to organs. Stefano Zapperi has developed alogirthms for multiscale materials modeling.
If you have a complex, data-based problem in need for a solution, contact us. We can provide taylored innovative solutions for private, public, institutional and non-profit organizations.
Co-founder and president of the board. Professor of Statistical Physics and Biophysics at the University of Milan, coordinator of the Center for Complexity and Biosystems. Complex Systems, Materials Science, Statistical Analysis, Computational Biophysics.
Co-founder and board member. Professor of General Pathology and Immunology at the University of Milan. Network Medicine, Systems Biomedicine, Quantitative Biology, Cancer, Network Neuroscience, Genomics, Transcriptomics, Biophysics.
Co-founder and board member. Professor of Innovation Management and Corporate Ecology at the University of Milan. Marketing, Internationalization, Open Organization, Networking, New Media, ICT Growth Models, Creativity and Innovation.
Professor of computer science at the University of Milan. Distributed systems, anonymity web crawling and indexing. Web graphs.
Professor of computer science at the University of Milan. Compression and analysis of social graphs, Efficient data structures for large datasets, High-performance parallel web crawling.
Director of the SONY Computer Science Lab (Paris, France) and Professor of Physics of Complex Systems at Sapienza University of Rome. Innovation, Creativity and Artificial Intelligence
Professor of probability and mathematical statistics at the University of Milan. Topological data analysis for Biomedicine and Materials Science, Big Data Analytics, Functional Statistics, Geostatistics and Spacial Statistics for Agricolture.
Researcher in economics at the University of Milan. Innovation, networks and collaboration.
Professor of numerical analysis at the University of Milan. Mathematical Physiology, Statistical Epidemiology, Image Analysis, Numerical Models for Biology
Selected (15 out of 158) for BioUpper Call for Ideas, Selection Day, 20 July 2018
Semifinalist GSVC Italy 2019.
Finalist (12 out of 84) for Startcup Lombardia 2018
Winner of the special prize "Startup 4.0" from the Camera di Commercio di Milano Monza Brianza Lodi.
Winner of G-factor 2019
Funding (90k€) and partnership with Fondazione Golinelli.