Scholar
Elias Najarro
Google Scholar ID: x7EcQBMAAAAJ
Postdoc, IT University of Copenhagen
Citations & Impact
Citations
524
H-index
11
i10-index
11
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - 2025: Solving Inverse Problems in Stochastic Self-Organising Systems through Invariant Representations
- - 2024: From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
- - 2024: Sparse Firing in a Hybrid Central Pattern Generator for Spinal Motor Circuits
- - 2023: Towards Self-Assembling Artificial Neural Networks through Neural Developmental Programs
- - 2023: MarioGPT: Open-Ended Text2Level Generation through Large Language Models
- - 2022: Disentangling Dimensions of Animacy in Human Brain and Behaviour
- - 2022: HyperNCA: Growing Developmental Networks with Neural Cellular Automata
- - 2022: Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems
- - 2022: A Unified Substrate for Body-Brain Co-evolution
Research Experience
- - Postdoc at Robotics, Evolution & Artificial Life Laboratory, IT University of Copenhagen, advised by Sebastian Risi
- - Research projects involve self-organising systems, modelling multi-scale systems, etc.
Education
- - MSc in Computational Neuroscience, BergLab, Dept. of Neuroscience, University of Copenhagen
- - BSc in Physics, Sorbonne University
- - Master in Computational Physics, Niels Bohr Institute (NBI), University of Copenhagen
Background
- Research interests include self-organisation and AI, exploring how ideas from collective intelligence and complex systems can inform machine learning models, and how these models can be used to understand the complex systems that inspired them. Particularly interested in self-organisation as an approach to design open-ended systems, and in using self-organising AI models to understand and control emergent systems.
Miscellany
- Interested in all things open science: open-source, open-data, open-access, and open-peer-review. Organizes science communication events in the form of science slams where academics & artists come together to interact and share their work with each other and the public.
Co-authors