Team Leader
Serin Pulikkottil
Texas A&M University
Animal Science
serinmarypulikkottil@tamu.edu
Project Type
Research
Who Can Join
Staff/Postdoctoral Scholars, Graduate Students, Masters Students, Undergraduate Students
Project Description
This project focuses on building and analyzing a comprehensive database of beef cattle performance, nutrition, and methane emissions to support machine learning applications in sustainable beef production. The database brings together information from scientific literature, experimental trials, and precision livestock technologies.
Team Needs
We are building an interdisciplinary team to advance the use of machine learning in making beef production more sustainable. Our work connects animal science, data science, and systems modeling. We welcome motivated students and collaborators from diverse backgrounds.
Special Opportunities
Co-authorship on publications, based on significant contributions to database development, analysis, or interpretation.
Present research outcomes at Student Research Week, symposiums, and conferences.
Gain hands-on experience with data science tools (Python, R, ML frameworks) while working on a real-world agricultural sustainability problem.
Build cross-disciplinary skills by connecting animal science, data science, and climate sustainability.