Published several papers, including 'EvoJAX: Hardware-Accelerated Neuroevolution', 'Collective Intelligence for Deep Learning: A Survey of Recent Developments', 'The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning', 'Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts'. The paper 'Collective Intelligence for Deep Learning: A Survey of Recent Developments' was published in the first issue of 'Collective Intelligence', an open-access journal co-published by SAGE and ACM.
Research Experience
Worked on projects such as EvoJAX: Hardware-Accelerated Neuroevolution (2022), Collective Intelligence for Deep Learning: A Survey of Recent Developments (2022), The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning (2021), Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts (2021), and Slime Volleyball Gym Environment (2020). Presented research at conferences including GECCO 2022, NeurIPS 2021, etc.
Background
Interested in studying how intelligence might have emerged from limited resource constraints.
Miscellany
Shares more detailed information about his work on his blog.