WELCOME
Animal Science DataLab is an applied research and extension platform developed to connect animal science, data science, and industry collaboration through the University of Minnesota. Our goal is to help livestock professionals make better use of their data by transforming complex biological and production information into practical analyses, educational resources, decision-support tools, and research collaborations. Animal Science DataLab serves as a communication and collaboration platform to connect industry needs with university-based research, extension, and data analysis capabilities.
Potential collaborations identified through this platform are intended to be developed through the appropriate University of Minnesota processes and channels.
OUR TEAM
![[headshot] image of customer](https://cdn.prod.website-files.com/69f121770653945e8ffbd5b8/6a066a681ddda9e56da0df7b_Yo.jpeg)
Christian leads the development of Animal Science DataLab and its research direction. As an animal scientist and data scientist, he focuses on translating advanced mathematical methods into practical animal science applications. His work includes developing conceptual and predictive models, educational resources, and decision-support tools that help livestock professionals make better decisions.
![[headshot] image of customer](https://cdn.prod.website-files.com/69f121770653945e8ffbd5b8/6a066aba8548b7f641ae27b3_Dr%20Pedro.jpeg)
Pedro provides scientific guidance in animal nutrition, swine production, and livestock sustainability. His role helps connect the platform’s analytical work with biologically meaningful questions in animal production. He supports the development of research ideas, interpretation of results, and alignment of Animal Science DataLab with practical challenges in livestock nutrition and production.
![[headshot] image of customer](https://cdn.prod.website-files.com/69f121770653945e8ffbd5b8/6a066b2562dcacd02a6d77b7_Anlly.jpeg)
Anlly contributes expertise in bioinformatics, microbiome research, livestock systems, and science communication. Her work supports projects where biological data, animal performance, and environmental conditions need to be integrated to better understand animal production responses. She also contributes to the visual and communication aspects of Animal Science Data Lab, helping translate scientific concepts into clear, accessible, and engaging resources for stakeholders.
![[headshot] image of customer](https://cdn.prod.website-files.com/69f121770653945e8ffbd5b8/6a066b684559f1e0c5a55caf_Samira.png)
Samira supports the educational and engagement components of Animal Science DataLab. Her role focuses on helping translate research into learning experiences, stakeholder-centered resources, and educational materials. She contributes to the platform’s goal of making data science and animal science concepts more accessible to students, researchers, and industry audiences.
![[headshot] image of customer](https://cdn.prod.website-files.com/69f121770653945e8ffbd5b8/6a066bd743a7bc88bb42ed68_Dr%20Jerry.jpeg)
Jerry helps guide how Animal Science DataLab translates research findings into practical resources for producers and livestock industry stakeholders. His experience in animal nutrition and producer-focused communication helps ensure that the platform’s work remains relevant, useful, and understandable for the livestock industry.
