Benchmark Genetics appoints RAS expert
Andrew Cree Preston has been appointed to the position of global RAS technical manager with Benchmark Genetics, a newly-created role in which he will share his operational, academic, and technical skills and experiences to help the aquaculture genetics, health, and nutrition company’s customers reach their production targets.
Described by the Sheffield, U.K.-headquartered Benchmark as “one of the world’s most prominent experts” within the field of Atlantic salmon production for recirculating aquaculture systems (RAS), Preston joins from Aquamoaf Aquaculture Technologies, where he was head of aquaculture production and operations.
“I am excited to join Benchmark Genetics and very keen to get started in the new position. I enjoy working in close contact with clients on a global basis, and I believe I can make valuable contributions that will help our customers maximize the potential of our genetics to meet their production objectives,” Preston said.
Preston has considerable experience in aquaculture from a commercial farming perspective and in academic research, Benchmark said, spanning many aquatic species, including Atlantic salmon, rainbow trout, brown trout, Atlantic cod, and Ballan wrasse. During his academic career, he was involved in research projects with global aquaculture, nutrition, and pharmaceutical companies.
He holds a doctorate in aquaculture from the Institute of Aquaculture at the University of Stirling, Scotland. He has had several researcher positions, including a postdoctoral at the University of Stirling.
“We are honored to have Andrew Preston on board in our commercial team. He has an impressive biography and a strong reputation within the aquaculture industry,” Benchmark Genetics Commercial Director Geir Olav Melingen said.
In February this year, Benchmark Genetics promoted Hideyoshi Segovia-Uno to the position of general manager at Spring Genetics, Benchmark Genetics’ tilapia business in the United States, which it acquired in 2015.
Photo courtesy of Benchmark Genetics