Python-based object-oriented discrete-event simulation tool for complex, data-driven modeling

Source repository for documentation at Open Source Brain

Source repository for NeuroML documentation.

ENCORE: Enhancing Computational Reproducibility

Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006)

BayesCog: A freely available course in Bayesian statistics and hierarchical Bayesian modeling for psychological science

Special repository hosting the InPhyT website.

C++ API for NeuroML 2

Agent-based modelling reveals the impact of growth patterns on spatial and temporal features of clonal diversification. A GitHub repository of the Source Code for the model and Source Data for the figures of the paper.

Agent-based modelling reveals the impact of growth patterns on spatial and temporal features of clonal diversification. A GitHub repository of the Source Code for the model and Source Data for the figures of the paper.

Code used to generate the results in "A unified model library maps how neuromodulation reshapes the excitability landscape of neurons across the brain"

Jupyter notebook and GEE code to produce multitemporal multifactor cost surfaces for the generations of transcontinental movement corridor networks

Research/educational project - modelling of a thin membrane under dynamic loads using finite element method.

Model-based compensation strategies for cochlear synaptopathy (CS)

Application of game theory in designing coupled neuronal oscillator

This repository contains the solution for the 2024 Computer Modeling Competition (CMC), implemented in Julia.

Presentation for my KARMA talk at KCL

Códigos desenvolvidos quando cursei a disciplina de Introdução a Modelagem Computacional na Universidade Federal de Juiz de Fora.

Code and data for Su et al. (2024) Communications Psychology

Work in progress on a scientific manuscript about the ethics of computational implementations of health economic models.

Scripts to perform in-silico application of Engineered Heart Tissue (EHT) patches to ventricle meshes.

A repository for our manuscript investigating gender differences in local and global metacognition.

Algorithmic Trading System

Using Bayesian inference to compare two models which study how positional information is encoded and interpreted in the developing embryo.

KMED-I models the newborn’s cry as the first epistemic event, simulating caregiver responses—fiduciary, inconsistent, neglectful, or silencing—and their impact on autonomy, dissonance tolerance, and dependence. A computational tool for developmental psychology, psychiatry, and epistemic theory.

Mostly work I carried out over my graduate studies in neuroscience

Code and data for Su et al. (2025) PLOS Biology

Code for "Risk and loss aversion and attitude to COVID and vaccines in anxious individuals" by Ferrari, Alexander and Seriès (2023).

Repo for Bees outperform vertebrates in a delayed conditional learning task

This paper reframes the newborn’s first cry as the primordial epistemic claim—the embodied registration of contradiction and dependence at life’s threshold. Drawing on developmental research, attachment theory, and KMED-I simulations, it shows how caregiver responses form fiduciary scaffolds shaping autonomy, resilience, and trust.