Cesare Furlanello: CEO. Data scientist, international expert of Applied Machine Learning and Artificial Intelligence. International collaborator of Riken (Japan), Wistar Institute (USA), US FDA for the development of Deep Learning models for Predictive Medicine. [Google Scholar profile]
Senior Advisor Fondazione Bruno Kessler (FBK). Head of Data Science (2018-19); Head of MPBA – Predictive Models for Biomedical and Environmental Data (1997-2019); national habilitation full professor in Biomedical Engineering (Dec. 2017); Coordinator of the FBK Data Analytics Research Line (2015-2017); MSc Math Univ Padua (1986); FBK junior Research Consultant (1987); tenured FBK researcher (1988), then Senior Researcher / Research Director since 2006. Visiting scientist MIT (1990), Newton Institute Univ. Cambridge (1997). Contract professor Univ. Trento (1998-2003). Author of > 170 scientific papers, editor and reviewer of scientific journals and international grant programs. Principal Investigator in European and national research projects, industrial R&D contracts, > 80 projects funded and managed. International expert in machine learning for predictive biomarkers, and computing platforms for their reproducibility. Developer of integrative frameworks for machine learning on geospatial data, massive environmental data, Geographical Information Sciences, applied to Digital Agriculture Environmental Health, Security, Retail and Marketing. Winner of 2 Microsoft Azure Awards (Deep Learning for Precision Medicine, 2018; Deep Learning Models of Heat Waves and Climate Change impacts on Crop production, 2019). Founder of WebValley interdisciplinary Data Science Summer School and Scientific Coordinator (2001-2020).
Tommaso Furlanello. PhD in Neuroscience USC (2014-2019); MSc Neuroscience Univ. Trento (2013-2014); Master in Behavioural Economics Univ Maastricht (2012-13); BSc Economics Univ. Pisa (2008-11). Internship in Deep Learning at Amazon Web Services (2017, 2018) and applied machine learning (S. Francisco, 2019). Expert in Deep Learning and its application to Neuroscience and Decision Processes. [Google Scholar profile]
Valerio Maggio: data science consultant and trainer, deep learning specialist, PhD in Computer Science Univ. Napoli (2010-13); MSc in Computer Science Univ. Napoli (2006-09); Postdoc Univ. Salerno (2014-15); Postdoc researcher FBK (2016-19), contributing to European Horizon 2020 projects amd Europeand Institute of Technology in Environmental Risk, Retail, Security; Coordinating tutor for Data Science and Deep Learning (Keras, TensorFlow, PyTorch) in international training and at FBK WebValley (2016-19); Organizer of PyCon/PyData Italia, EuroSciPy (2015-2019); Micorosoft Azure Cloud Research Software Engineer (2018); Honorary Senior Research Associate in Data Science and AI at MRC Integrative Epidemiology Unit, Univ. Bristol, UK (2019-2020). [Google Scholar profile]
Lorenzo Gorini: Junior Data Scientist. MSc in Theoretical Physics, Univ. Bologna (2018); Research assistant Max Planck Institute for Solid State Physics, Stuttgart (2017-18); Back-end Java Developer Accenture; Network Software testing (2019); Scientific software specialist for data analytics of environmental quality and molecular bioimaging (CNR, 2019-20)