Adam Gaier

Principal AI Research Scientist

Europe, Middle East, and Africa


Adam Gaier is a research scientist at the Autodesk AI Lab where he pursues research at the intersection of evolutionary and machine learning. He received master’s degrees in evolutionary computing and robotics, and a PhD focused on tackling expensive design problems through the fusion of machine learning, quality diversity, and neuro-evolution approaches. His work has received recognition at top venues across these fields, including: a spotlight talk at NeurIPS (machine learning), multiple best paper awards at GECCO (evolutionary computation), and best student paper at AIAA (aerodynamics design optimization).

Publications (7)



Language Model Crossover: Variation through Few-Shot Prompting

Pursuing the insight that language models naturally enable an…



BOP-Elites: A Bayesian Optimisation Approach to Quality Diversity Search with Black-Box descriptor functions

An algorithm that efficiently tackles expensive black-box optimization…



Harnessing Game-Inspired Content Creation for Intuitive Generative Design and Optimization

A multi-scale generative design model that adapts the Wave Function…

Be part of it

Join our diverse team of scientists and industry experts to help us lead the future of design.

Search Careers