Amy Peerlinck

Amy Peerlinck is a Lecturer in the Math & Computer Science Department at Western Colorado University. She holds a PhD in Computer Science from Montana State University (2023), an MS in Computer Science from the same institution (2019), and dual bachelor's degrees in Information Science (Karel de Grote College/University, 2016) and Applied Linguistics (University of Antwerp, 2013). Originally from Belgium, she relocated to Montana for a tech internship and discovered a passion for both mountain environments and computer science education.

Her research focuses on applying computational intelligence to real-world problems, with expertise in:

• Machine learning and evolutionary algorithm development
• Precision agriculture optimization and sustainability
• Multi-objective problem solving using factored evolutionary approaches
• Neural network applications for agricultural prediction models

Her publications demonstrate consistent focus on evolutionary computation and machine learning applications in agriculture, particularly through optimization algorithms like genetic programming and neural network ensembles. Conference papers frequently address yield prediction, experimental design optimization, and sustainable farming solutions.