Silvestro Barbarino
About Silvestro Barbarino
Silvestro Barbarino serves as the Data Analytics Lead and Data Scientist at Joby Aviation since 2018, where he focuses on enhancing data analysis capabilities and managing a team of data scientists. He has a diverse background in aerospace engineering and data science, with previous roles at Lockheed Martin, Rensselaer Polytechnic Institute, and Sikorsky Aircraft.
Work at Joby Aviation
Silvestro Barbarino has been serving as the Data Analytics Lead - Data Scientist at Joby Aviation since 2018. In this role, he has led the acquisition and integration of cloud technology to enhance large-scale data analysis capabilities. He developed scalable time series data processing tools and automated conditional data labeling for internal applications. Barbarino promotes data democratization and has established an open data architecture and roadmap within the organization. He manages a diverse team of 16 data scientists, focusing on performance reviews and employee coaching. Additionally, he implements machine learning models for anomaly detection and utilizes Agile methodology for task scheduling and execution tracking.
Previous Experience
Before joining Joby Aviation, Silvestro Barbarino worked at Lockheed Martin as a Data Scientist Analyst Stf from 2017 to 2018. He also held the position of LM CETO Tech Liaison at Penn State during the same period. His academic career includes roles as an Adjunct Faculty at Rensselaer Polytechnic Institute in 2013 and as a Research Officer at Swansea University from 2010 to 2011. Additionally, he served as a Research Associate at Rensselaer Polytechnic Institute from 2012 to 2013 and as a Postdoctoral Scholar at Penn State University from 2011 to 2012.
Education and Expertise
Silvestro Barbarino holds a Doctor of Philosophy (Ph.D.) in Aerospace Engineering from Università degli Studi di Napoli 'Federico II', completed from 2006 to 2009. He also earned a Master's degree in Aerospace Structures from the same institution between 2000 and 2005. In 2023, he completed a program in Data Strategy: Leveraging Data as a Competitive Advantage at the Haas School of Business, University of California, Berkeley. His educational background supports his expertise in data analytics and aerospace engineering.
Research and Development Roles
Barbarino has extensive experience in research and development roles. He worked as a Young Researcher at the Italian Aerospace Research Centre (CIRA) from 2006 to 2009 and at the University of Naples Federico II in various capacities, including a Young Researcher in 2006 and 2008. His role as a Visiting Research Scholar at Penn State University in 2009 further contributed to his research experience. These positions allowed him to develop a strong foundation in aerospace research and data analysis.
Technical Skills and Methodologies
In his current position, Silvestro Barbarino employs Agile methodology for team task scheduling and execution tracking, including sprint planning and retrospectives. He has developed machine learning models for anomaly detection, showcasing his technical skills in data science. His work in building scalable data processing tools reflects his proficiency in data analytics and cloud technology integration, which are critical for modern data-driven decision-making.