Head of Data Science & Analytics.
Responsible for delivery of Adv. Analytics and ML/AI based solutions within Digital Innovation Program; Work experience of 13 years in relevant industries (Health Care, Pharma, etc.); Ph.D. in Data Science, Specialization in Artificial Intelligence, M.Sc. in i) Physics and ii) Statistics; Founder and CSO of Innovative Startup and Academic Spin-off; Author of more than 100 scientific publications and 2 books on statistical methodology in complex data systems.
Leads the delivery of strategic advanced analytics solutions across different industries providing analytics insights and solutions;
Leverage analytics within transformation projects in operations through maturity assessments and one time analytics projects in a big data paradigm driving the AI/ML outcomes at scale in data pipelines and distributed systems;
Support and organize operations in fact based decision making, RCA and strategic initiatives through big data analysis, text analysis and statistical modeling engaging in fundamental research to develop novel methods and solutions;
Biostat team leader with the scope to exploring the emerging statistical approaches for data integration considering the role of omics techniques;
Responsible of development and application of statistical methods in the neuromuscular field using neural networks; Optimization of complex statistical algorithms for the classification of the air pollution related risks.
Head of Data Science & Analytics.
Responsible for delivery of Adv. Analytics and ML/AI based solutions within Digital Innovation Program; Work experience of 13 years in relevant industries (Health Care, Pharma, etc.); Ph.D. in Data Science, Specialization in Artificial Intelligence, M.Sc. in i) Physics and ii) Statistics; Founder and CSO of Innovative Startup and Academic Spin-off; Author of more than 100 scientific publications and 2 books on statistical methodology in complex data systems.
Leads the delivery of strategic advanced analytics solutions across different industries providing analytics insights and solutions;
Leverage analytics within transformation projects in operations through maturity assessments and one time analytics projects in a big data paradigm driving the AI/ML outcomes at scale in data pipelines and distributed systems;
Support and organize operations in fact based decision making, RCA and strategic initiatives through big data analysis, text analysis and statistical modeling engaging in fundamental research to develop novel methods and solutions;
Biostat team leader with the scope to exploring the emerging statistical approaches for data integration considering the role of omics techniques;
Responsible of development and application of statistical methods in the neuromuscular field using neural networks; Optimization of complex statistical algorithms for the classification of the air pollution related risks.