Using machine learning to improve fish growth media
2020-2021
Dr. Ovissipour at Virginia Tech is applying machine learning techniques to develop and optimize low-cost serum free growth media for seafood cell lines.
PRODUCTION PLATFORM: Cultivated
TECHNOLOGY SECTOR: Cell culture media
Project aims
This project uses Response Surface Methodology and Artificial Neural Networks to produce an optimized media formulation for culturing stem cells from fish. It also creates predictive models that will guide and hasten future media optimization efforts.
This work will produce optimized media formulations that accelerate future research on cultivated seafood. It will also inform future efforts to optimize media for different species and cell types.
Principal researchers
Dr. Reza Ovissipour
Assistant Professor, Virginia Tech, USA
Dr. Ovissipour has extensive experience in both conventional aquaculture and the use of mathematical modeling techniques for optimization.
Inayat Batish
PhD student, Virginia Tech, USA
Inayat Batish has a background in cell culture research and mathematical modeling.
Thet Aung
MSc student, Virginia Tech, USA
Thet Aung has a background in food science and sustainability.
Dr. Lexi Duscher
Postdoctoral Associate, Virginia Tech, USA
Page
Sustainable Seafood Initiative
Learn how plant-based, fermentation-derived, and cultivated seafood can improve the health and sustainability of oceans.
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Resource
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This action paper explores alternative seafood’s role in creating a sustainable, secure, and just food system.
