Curriculum vitae

Ben Gaskin

Sydney, Australia · bgas0204 at uni.sydney.edu.au

Last updated June 2026

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Summary

How is mind related to the world it encounters? More specifically, how do mind, concepts, and information arise from material relations, and how do these apparent intangibles come to organise those relations in turn?

Early cognition and biological information provide the current focus, drawing together philosophy, science, and computational modelling. Models make theoretical commitments explicit: as Feynman put it, “What I cannot create, I do not understand.”

Education

University of Sydney

Doctor of Philosophy

Research Training Program Stipend Scholarship

University of Auckland

Master of Arts in Philosophy

Research Masters Scholarship, First Class Honours

University of Auckland

Bachelor of Arts (Honours) in Philosophy

First Class Honours

University of Auckland

Graduate Diploma in Philosophy

University of Auckland

Bachelor of Arts in Psychology and Politics

Publications

DevNCA: co-evolving developmental patterns & plasticity rules for self-organising SNNs

Artificial Life Conference Proceedings 37 (1), 12

Presentations

Containment and many-sidedness: a comparative study of Aristotelian and Jain logics

World Congress on Logic and Religion

Where are words? Predictive processing and the cognitive penetration of language

Australasian Association of Philosophy Conference

Projects

jax_evogym

JAX port and extension of the EvoGym soft-body robotics environment for GPU-accelerated population-scale simulation

cartpole_fast

A JAX-native neuromorphic CartPole benchmark for parallel evaluation of evolving spiking controllers.

Service

Emerging Researchers in Artificial Life

ISAL Board Representative

International Society for Artificial Life

Representative for Emerging Researchers in Artificial Life (ERA)

Skills

Research

Disciplines
philosophy of mind, philosophy of biology, philosophy of science, artificial life, artificial intelligence, cognitive science, developmental cognitive science, theoretical biology
Methods
literature review, computational modelling, experimental design, statistical analysis
Communication
writing, proofreading and editing, audiovisual presentation, public speaking, consulting

Technical

Languages
python, typescript, english
Libraries
jax, mlx, pytorch, taichi, hydra, weights & biases
Computational neuroscience
spiking neural networks, neuroevolution, coding and decoding, plasticity, architecture search
Evolutionary computation
genetic algorithms, direct and indirect encoding, quality diversity, multi-objective optimisation
Models
neural cellular automata, soft-body and fluid simulation, agent-environment models

Training

Diverse Intelligences Summer Institute

Fellow

EMBO/FEBS Lecture Course: Emergence & Evolution of Multi-Level Regulatory Systems