Genetic Programming Theory & Practice XXIII

University of Michigan • June 04-06, 2026

Schedule

8:30a Breakfast + Coffee
9:00a Opening remarks
9:15a Keynote by Adam Wilkins (Humboldt Universität zu Berlin): “Animal domestication: Some new perspectives on the oldest problem in genetics”
10:15a Discussion/Coffee
10:30a Jason Moore (Cedars-Sinai Medical Center): “Agentic AI for autonomous data science”
11:00a Nathan Haut (Michigan State University): “Genetic Programming, Time-Series Data Processing, and Dynamical Systems”
11:30a Alex Lalejini (Grand Valley State University): “Identifying Potentiating Events in an Evolutionary Search Using Replay Experiments”
12:00p Discussion
12:45p Lunch
2:00p Emily Dolson (Michigan State University): “Analyzing the Fitness Landscape of a Challenging Real-World Antenna Design Problem: A Case Study”
2:30p Ryan Urbanowicz (University of Pennsylvania): “STREAMLINE 3.0 – An Expanded Automated Machine Learning Framework for Data Mining, Modeling, and Algorithm Benchmarking” (lightning talk)
2:45p Discussion/Coffee
3:30p Break
4:00p Julie Rolla (NASA Jet Propulsion Laboratory)
4:30p Erik Fredericks (Grand Valley State University): “Every Map an Evolution, Every Room a Generation: Co-Evolution in a Procedurally-Generated Video Game” (lightning talk)
4:45p Closing Discussion

8:30a Breakfast + Coffee
9:00a Keynote by Loris D’Antoni (University of California San Diego): “Constraining Chaos: Toward Faithful and Semantic Decoding in Language Models”
10:00a Discussion/Coffee
10:15a Break
10:30a Giovanni Squillero (Politecnico di Torino): “GP and The Quest for AGI — When Goodhart’s Law Turned Out to Be Useful”
11:00a Charles Ofria (Michigan State University): “An Analysis of Pareto Fronts and Lexicase Selection”
11:30a Matthew Andres Moreno (University of Michigan): “Trust, but Verify: Rigorously Profiling Best-Effort High-Performance Computing for Digital Evolution” (lightning talk)
11:45p Discussion
12:45p Lunch
2:00p Qi Chen (Victoria University of Wellington): “One Feature Space Does Not Fit All: Evolutionary Feature Construction for KNN-Based Multi-Output Regression”
2:30p Patrick Leser (NASA Langley Research Center): “Tailoring Genetic Proposals and Priors for Bayesian Symbolic Regression.” (lightning talk)
2:45p Discussion/Coffee
3:30p Break
4:00p Ilya Basin (Noblis): “GPU-Accelerated Beagle GP Framework with Novel Monte Carlo Ranking Selection Algorithm for Populations in the Millions of Individuals”
4:30p Inaki Hidalgo (Universidad Complutense de Madrid): “Managing Numerical and Categorical Features by Context-Aware Grammars in GP” (lightning talk)
4:45p Closing Discussion

8:30a Breakfast + Coffee
9:00a Keynote by Krzysztof Krawiec (Poznan University of Technology): “Beyond Pattern Matching: Achieving Algorithmic Intelligence through Neurosymbolic and Physics-Aware Integration”
10:00a Discussion/Coffee
10:30a Stuart Card: “The Needs of the Few - Information Theory Aided Ensemble Selection for Robustly Generalizing Causal Models”
11:00a Mark Kotanchek (Evolved Analytics): “Getting Categorical: Moving from Symbolic Regression to Classification”
11:30a Travis Desell (Rochester Institute of Technology): “From Individual Populations to Islands to Cells: Population Dyanmics While Evolving Parameterized Quantum Circuits”
12:00p Closing discussion