JT is a consultant and futurist at productOps focused on sustainability and technology. JT works with organizations such as The Nature Conservancy on improving monitoring and traceability through EM and other programs. JT has over 25 years experience in data architecture and science and currently advises on the use of ML, IoT, and data workflows among other things.

In addition to consulting, JT is also working on his Masters of Foresight degree at the University of Houston.

Alex is an award winning fisheries scientist based in Penang, Malaysia. He is the leader of the Resilient Coastal Fisheries research cluster for WorldFish. His work and research are focused on developing and testing innovative technological and social approaches to improve well-being, gender equality, and inclusive governance of aquatic foods. He is the creator of the PeskAAS open source system for fisheries monitoring.

Marlon is a member of the Inter-American Tropical Tuna Commission, with 10 years tuna purse-seine fishery observer experience, and 20 years as part of the scientific staff in the IATTC headquarters. He has developed data collection field forms and species identification guides for observers on board tuna purse-seine vessels operating in the eastern Pacific Ocean. He’s currently working with the IATTC electronic monitoring team, exploring the use of EM of tuna purse-seine vessel activities and catches.

Chris is the CTO for Vericatch. Chris has over 30 years of development experience working in high-tech. He has lived and worked in the US, China, and Canada as a high-tech leader.

Chris enjoys building and leading world class development teams and working with start-ups to develop their core Intellectual Property.

Justin is Co-Founder and Chief Technical Officer at Ai.Fish. Ai.Fish uses the latest artificial intelligence and computer vision research to develop software tools that enhance EM. Justin leads research and development at Ai.Fish in the areas of fish and gear detection, tracking, classification and counting. He aims to bring a decade of experience in software development and machine learning research to problems in marine conservation and sustainability, and to help EM move toward widespread adoption with the assistance of AI.

Ai.Fish was formed to bring the latest in artificial intelligence research to problems in marine sustainability and conservation. The company is based on Oahu, where its founders built the world’s leading CAD/CAM software company for surfboard manufacturing. The team is excited to now bring their passion for the ocean, connection to the local community, and deep technical expertise to fisheries Electronic Monitoring.

Ai.Fish’s current focus is a computer vision platform which utilizes advanced artificial intelligence to speed up the most time-consuming parts of the Electronic Monitoring review process. Our platform automatically detects catch events from video and sensor data, greatly reducing the amount of footage requiring review, and assists reviewers with suggestions from species classification algorithms. We are actively performing R&D in computer vision and machine learning, and are exploring other areas where AI can further assist the EM review process.

We know there is no one-size-fits-all solution for Electronic Monitoring, and we believe state-of-the-art research can only have impact if it is brought to market through a user and stakeholder focus. We offer custom-built technology to fit the unique requirements of each fishery, and work with stakeholders to match the pace of EM’s adoption. Please contact us to learn more about what we can do for you.