We help environmental professionals and organizations turn complex data into robust, decision-ready systems, assessments, and tools.
inSileco emerged from a shared way of working at the intersection of ecology and data science. The name combines in silico – work done through code, models, and computation – with ecology, the lens through which we approach environmental questions involving complex systems that must be both conserved and used.
Our approach grew from the need to make environmental analyses more robust, reusable, and easier to update as questions evolve. Today, inSileco helps environmental professionals and organizations work more efficiently, make better use of existing knowledge, and build workflows that hold up over time.
We design and deliver services that support environmental decision-making across projects and organizations:
We prioritize clarity, transparency, and long-term usability from discovery to delivery.
Co-founder and data scientist
David Beauchesne holds a PhD in oceanography from the Institut des sciences de la mer and has 10+ years of experience on ecosystem-based management in general and cumulative effects assessment in particular, relying heavily on data science, reproducibility and sound data management practices.
Co-founder and data scientist
Kevin Cazelles holds a joint PhD between Université du Québec à Rimouski and Université Montpellier. He is reproducible research advocate tackling research challenges in various areas of ecology through which he acquired a very broad set of quantitative and computational skills.
Co-founder and data scientist
Steve Vissault holds a MSc from Université du Québec à Rimouski where he focused on forest dynamics in the context of climate change and he developed strong quantitative and computational skills. He has since worked as a lead data scientist in the environmental and medical fields.
Trusted by public agencies, Indigenous organizations, and research partners.