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Roderick Woolvett is a Canadian actor born on July 12, 1970. He is best known for his prominent roles as Billy 'The Kid' Fenner in the action-adventure series Relic Hunter (1999-2002) alongside Tia Carrere and Christien Anholt, and as Stick Tate in the science fiction drama PSI Factor: Chronicles of the Paranormal (1996-1999). Woolvett began his acting career in the mid-1990s and has since appeared in a variety of television shows and films, often in supporting or guest roles. His work has primarily been in Canadian and American co-productions, and he has a recognizable presence in genre television from that era.
Roderick Woolvett's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Portrayed Billy 'The Kid' Fenner, a tech-savvy research assistant, for all three seasons of the internationally syndicated series 'Relic Hunter'. This role brought him significant visibility and recognition among fans of action-adventure television.
Played the character 'Stick' Tate in 'PSI Factor: Chronicles of the Paranormal', a popular science fiction series. His portrayal contributed to the show's cult status and demonstrated his versatility in genre acting.
Maintained a steady career with numerous guest appearances and recurring roles in various television series since the 1990s, including 'Kung Fu: The Legend Continues', 'Due South', 'Earth: Final Conflict', and 'Nikita'.
Pontificia Universidad Católica de Chile - Year 2012
Privada - Year 2003
Universidad Técnica Federico Santa María - Year 2000
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
OSAcontrol provides an AI-powered hybrid platform, OSA Hybrid Platform™, designed to optimize retail operations by preventing out-of-stocks (OOS), reducing waste, and improving on-shelf availability (OSA). Their solution leverages real-time data analytics, computer vision, and machine learning to offer actionable insights for retailers and Consumer Packaged Goods (CPG) companies. This helps businesses enhance customer satisfaction, minimize lost sales due to unavailability, and improve overall operational efficiency in physical stores.
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