Silvia Veronese

Dr. Silvia Veronese is responsible for the analytics research and successful adoption of Guavus technologies – focusing on information analytics based on large-scale machine learning and advancing the use of data mining to help businesses strengthen IT operations, engineer new products, optimize marketing and deliver real-time personalized content – driving innovation and transformation in the largest big data environments in the world. Silvia has extensive experience in big data, analytics, algorithmic modeling, security, information management and governance in both enterprise and service provider markets.

Prior to Guavus, Silvia held various executive positions at Hewlett Packard and HPE. She was also a co-founder in several startups in data analytics, traffic monitoring and high frequency trading. And at IBM, she worked on the team that designed the first parallel computer.

Silvia spent the first half of her career in academia as professor of mathematics at the University of Utah doing research in high-performance computing and non-linear dynamical systems. She has published several articles in the area of mathematical modeling, biomedical engineering, network and traffic flow analysis. She holds a doctorate in mathematics from the University of Pavia, Italy, an MBA in Management of Technologies from the University of Utah and has completed her post graduate studies at M.I.T.