Peter W.
About Peter W.
Peter W. is the Head of AI at Leonardo.Ai, where he focuses on building inclusive teams and enhancing organizational capabilities. He has a strong background in AI, Generative AI, and Deep Learning, with previous roles at IAG and UBS, and holds degrees in Computing and Mathematical and Statistical Modelling.
Current Role at Leonardo.Ai
Peter W. serves as the Head of AI at Leonardo.Ai, a position he has held since 2022. In this role, he focuses on leveraging his expertise in Generative AI and Deep Learning to drive innovation and enhance the company's AI capabilities. He emphasizes building inclusive teams and developing organizational capabilities to ensure effective collaboration and project success.
Previous Experience at IAG
Prior to joining Leonardo.Ai, Peter W. worked at IAG as a Robotics & AI specialist from 2016 to 2019 in Sydney, Australia. During his three years there, he contributed to the development and implementation of AI solutions, enhancing the company's operational efficiency and technological capabilities.
Professional Background at UBS
Peter W. has a notable history with UBS, where he held multiple roles. He served as Development Lead from 2006 to 2009 in Sydney, Australia, and later as Head of Security Testing from 2010 to 2011 in Zürich, Switzerland. His experience at UBS involved overseeing development processes and ensuring the security of applications.
Educational Qualifications
Peter W. holds a Bachelor of Science in Computing from Macquarie University, which he completed from 2000 to 2004. He furthered his education with a Master of Science in Mathematical and Statistical Modelling from the University of Technology Sydney, achieved in 2014. Additionally, he obtained a Graduate Diploma in Applied Finance and Investment from FINSIA between 2005 and 2007, and a Graduate Certificate in Mathematics from the University of Technology Sydney in 2012.
Expertise in AI and Emerging Technologies
Peter W. possesses extensive experience in cloud-native distributed applications and a data-driven operational approach. He specializes in taking AI and emerging technologies from research projects to scalable production services. His work involves collaboration with stakeholders across various domains, including product, strategy, finance, and marketing.