Cesare Furlanello: CEO. Data scientist and entrepreneur, 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]
Formerly Head of Data Science (2018-19) at Fondazione Bruno Kessler (FBK); 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); Senior Researcher since 2006; tenured FBK researcher (1988); FBK junior Research Consultant (1987). MSc Math Univ Padua (1986). Visiting scientist: MIT (1990), Newton Institute Univ. Cambridge (1997). Contract professor Univ. Trento (1998-2003). Author of > 190 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). Organizing Chair 3rd Workshop or the MAQC Society, Theme: Reproducibility of Artificial Intelligence for Predictive Medicine, Riva del Garda (TN), 8-10 Apr 2019. Founder of WebValley interdisciplinary Data Science Summer School and Scientific Coordinator (2001-2020). President of the Massive Analysis and Quality Control (MAQC) Society (2018 – 19).
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]