About

Dr. Austin Ferguson is a computer scientist whose research leverages computational modeling to explore and advance evolutionary biology theory. His work focuses on running in silico experiments that would be otherwise impossible with natural organisms, offering insights into how life evolves and how we study that process. Dr. Ferguson's research bridges multiple domains, including artificial life, digital evolution, evolutionary computation, and artificial intelligence. He is a member of the International Society for Artificial Life and regularly serves as a reviewer for top conferences like ALife and GECCO. In the classroom, Dr. Ferguson is passionate about building strong theoretical and practical foundations in computer science, teaching everything from introductory programming and data structures to systems-level topics like computer architecture, Linux, and git. He also enjoys mentoring students with interests in interdisciplinary topics like agent-based modeling and evolutionary computation. Outside of academia, you’ll likely find him on a hiking trail, behind a board game, or attempting to keep his houseplants alive.

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