About us:

COMPLEXDATA is a spin-off of the Center for Complexity & Biosystems (CC&B), of the University of Milan.

COMPLEXDATA is an innovative startup and is associated to Assolombarda

How can we help:

COMPLEXDATA finds innovative solutions to data intense problems based on cutting-edge research: Handling large datasets, dimensional reduction, visualization and optimization.

How to contact us:

COMPLEXDATA SRL, Corso di Porta Romana 132, 20122 Milano.

Contact us at: info@complexdata.it

PEC: complexdat@pec.it

P.IVA: 10367760963

The Challenge of Large Datasets

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.

The Challenge of Biomedical Data Integration

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.

The Challenge of Molecular Design

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.

The Challenge of Innovation and Creativity

“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.

The Challenge of Geolocalized Data

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.

The Challenge of Multiscale Simulations

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.

Your Challenge

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.

Board of directors

Stefano Zapperi

www.smmlab.it

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.

Caterina La Porta

www.oncolab.unimi.it

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.

Luciano Pilotti

www.facoltaspes.unimi.it

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.

Founding partners

Paolo Boldi

boldi.di.unimi.it

Professor of computer science at the University of Milan. Distributed systems, anonymity web crawling and indexing. Web graphs.

Sebastiano Vigna

vigna.di.unimi.it

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.

Vittorio Loreto

www.socialdynamics.it

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

Giacomo Aletti

ORCID iD iconorcid

LinkedIn icon giacomo-aletti-872619

Professor of Probability and Mathematical Statistics at the University of Milan. Applied mathematics, Probabilistic Algorithms for Big Data, Stochastic Systems, Geolocalized Data.

Alessandra Micheletti

users.mat.unimi.it

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.

Luigi Orsi

www.researchgate.net

Researcher in economics at the University of Milan. Innovation, networks and collaboration.

Giovanni Naldi

users.mat.unimi.it

Professor of numerical analysis at the University of Milan. Mathematical Physiology, Statistical Epidemiology, Image Analysis, Numerical Models for Biology

Prizes & Awards

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.

Contact us!