Python

About forty academic women — from Stanford, Oxford, Max Planck, Karolinska, Amsterdam UMC, Geneva — fill out a sign-up form on a professional repository in their field, and never hear back. In spring 2026, I was engaged on a small contract for the Women in Neuroscience Repository. The website was functional, but the team had flagged some minor issues, mostly on the server side. Some things as updating the dependencies or simplifying the production pipeline. ...

pylinkage is a Python library for planar linkage synthesis: you design a mechanism, define a target motion, and the optimizer — using particle swarm optimization — finds the right dimensions. If you’re new to the project, I wrote about its origins in A Solid Snake. Version 0.7.0 is a foundational rewrite. Not new features stacked on old code, but everything rebuilt on proper abstractions. Here’s why I made these changes and how the library is now much better. ...

Let’s talk about a project I’ve been working on for a long time, and my first published Python package: pylinkage. It’s a lightweight linkage designer and simulator that lets you quickly define and optimize mechanical linkages in code. Introduction Pylinkage dates back to 2018, when I started working on a project on leg mechanisms. At the time there was no simple way to generate mechanical linkages in Python, so I decided to create my own open-source package. The goal: go from linkage definition to mathematical optimization with minimal boilerplate. ...

leggedsnake is a cool project I developed in Python. Its purpose is to improve the design of linkages, specifically leg mechanisms. The idea is to create a linkage using pylinkage, and then use a dynamic simulation (with gravity and forces) to select a better linkage based on a genetic algorithm. Demo video of leggedsnake Inspirations/Other cool projects This project was strongly influenced by Theo Jansen’s stranbeesten. At some point, it became more important when I felt that the already existing leg mechanism optimizers such as the one from Amanda Ghassaei (and please visit her impressive website!) could be improved. ...