As a postdoctoral fellow at the University of British Columbia, I co-design open science lessons (data management, reproducibility, collaboration and data synthesis) and mentor grad students in open data projects in two cohorts per year, where they rescue unarchived data and publish them in the open.
Co-created the first edition of a Machine Learning “100 days of code” challenge for 60 people along with the Institute for Data Valorization, the Bioinformatic Students Association and the Quantitative and Computational Ecology lab of Université de Montréal. I helped to build lessons on programming logic in R, Julia and Python, facilitated tutorials on data wrangling in Julia, version control, and project management.
Created a decentralized coding club aimed at increasing diversity and inclusion among Julia users, gathered and managed a small team of 3 people and the USD 4k funding that was awarded by Sloan Foundation (through Julia Community). The club fueled communities in two cities, in partnership with local hackerspaces, and was presented at JuliaCon that same year within a symposium promoted by the projects awarded by this same fund.
Designed and facilitated the delivery of a theoretical ecology workshop. This sprint working group eaimed at tackling the issue of identifying priority sampling locations for interaction data that would be the most efficient at reducing uncertainty in networkpredictions and validating predictive models of interactions..
Conceived and developed an open science communication training during the 5th cohort of the Mozilla Open Leaders program. The project was part of the Mozilla Global Sprint and was selected for the 2018 Mozilla Festival. In 2019, it and awarded more than USD 11k in grants, which helped us to gather contributors, pay five facilitators and deliver six training for 30 people each, and one public festival with more than 40 people presenting their projects.