I am an Artificial Intelligence researcher that aims to make machines more adaptive and creative. My research is focused on computational evolution, deep learning, and crowdsourcing, with applications in robotics, video games, design, and art.

My research asks questions such as: Can we create lifelong learning machines that continuously acquire new knowledge and skills? Can we create machines that learn from and work together with humans to solve tasks that neither humans nor machines can solve by themselves?

I co-direct the Robotics, Evolution and Art Lab (REAL) at the IT University of Copenhagen, in which we explore such questions and are establishing new foundations for future robotics and other artificial cognitive systems. I am also one of the co-founders of modl.ai, a company that develops AI techniques for game development. Before joining the IT University I was a postdoctoral researcher in Hod Lipson’s Creative Machines Lab at Cornell University. From 2008-2012, I was a PhD student in the Evolutionary Complexity Research Group at the University of Central Florida, headed by Kenneth Stanley.

Our research has been covered in different news outlets such as Science, New Scientist, Wired, Popular MechanicsThe Register, and Popular Science.


  • Sapere Aude: DFF Starting Grant, 2019
  • Amazon and Google Faculty Research Awards, 2019
  • Distinguished Young Investigator award 2018, International Society for Artificial Life
  • Over ten best paper awards
  • PI for ITU, DARPA project: Super Turing Evolving Lifelong Learning ARchitecture (STELLAR), 2018 – 2021
  • Co-PI, Horizon 2020 – Future & Emerging Technologies (FET) Proactive Flora-Robotica, 2015 – 2019

Selected Projects:

Meta-Learning through Hebbian Plasticity in Random Networks, NeurIPS 2020. Press coverage in Science.

Increasing generality in machine learning through procedural content generation

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Evolving Neural Turing Machines for Reward-based Learning

1D Printing of Recyclable Robots