Thomas Helmuth

Thomas Helmuth is an Associate Professor of Computer Science at Hamilton College. His research focuses on genetic programming, a subfield of AI that evolves computer programs using biological evolution principles. He has contributed to program representation, parent selection methods, and benchmark development for program synthesis. Helmuth holds a B.A. from Hamilton College and advanced degrees from the University of Massachusetts Amherst. Before joining Hamilton, he taught at Washington and Lee University.

Education:

• B.A. in Computer Science & Mathematics, Hamilton College
• M.S. and Ph.D. in Computer Science, University of Massachusetts Amherst

Research interests emphasize genetic programming's application in automatic program synthesis, with specific attention to lexicase selection, down-sampling techniques, and evolutionary algorithm optimization. His work bridges theoretical advancements with practical benchmarking frameworks like PSB2.

Publications span topics such as lexicase selection dynamics, computational efficiency improvements, and code generation innovations. His recent work explores informed down-sampling strategies and human-driven genetic programming systems.

Teaching includes courses on programming languages and artificial intelligence. His research has been presented at venues like GECCO and PPSN conferences, focusing on evolutionary computation advancements.