Olivier Collignon

VP Product And Data Science @ Cape Analytics

About Olivier Collignon

Olivier Collignon serves as the VP of Product and Data Science at Cape Analytics, Inc., where he has contributed to the development of innovative products utilizing machine learning and aerial imagery since 2015. He has a background in Industrial and Mechanical Engineering from Arts et Métiers ParisTech and Civil Engineering from Stanford University, along with extensive experience in various leadership roles in analytics and risk management.

Current Role at Cape Analytics

Olivier Collignon serves as the Vice President of Product and Data Science at Cape Analytics, Inc. since 2015. In this role, he has been instrumental in bringing innovative products to market. His focus includes the development of products that leverage machine learning and aerial imagery, enhancing the company's capabilities in data analysis and risk assessment.

Previous Experience in Risk Management and Analytics

Prior to his current position, Olivier Collignon held several roles in risk management and analytics. He worked at Loudcloud as Operational Risk Management from 2001 to 2004. He also served as VP of Business Analytics at LoopNet from 2004 to 2012. Additionally, he was the Director of Risk Applications at RMS from 1997 to 2001, contributing to various risk management initiatives.

Education and Expertise in Engineering

Olivier Collignon studied Industrial and Mechanical Engineering at Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers, where he earned a Master’s degree from 1991 to 1994. He furthered his education at Stanford University, focusing on Civil Engineering as an ABD PhD candidate and research assistant from 1994 to 1997. His educational background supports his expertise in integrating machine learning with aerial imagery for product development.

Research Experience at Stanford University

During his time at Stanford University from 1994 to 1997, Olivier Collignon worked as a research assistant while pursuing his PhD. This experience provided him with a strong foundation in research methodologies and advanced engineering concepts, which he later applied in his professional roles.

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