Inclusive Team Science

The people, perspectives, and day-to-day collaboration behind COSSEE.

COSSEE is not just a collection of projects. It is a working research community built around evidence synthesis, open science, ecology, evolution, statistics, and collaborative tool-building. This page brings together the people who make that work possible, the different backgrounds they bring, and a glimpse of what shared research life actually looks like.

The goal is to show visitors, newcomers, and prospective members how COSSEE combines scientific depth with interdisciplinary teamwork: people working across evidence synthesis, ecology, conservation, palaeoecology, computing, machine learning, statistics, and open-science infrastructure in one connected research environment.

Evidence synthesis
Meta-research
Open science
Ecology
Evolution
Conservation biology
Marine science
Palaeoecology
Computing science
COSSEE
Machine learning
AI workflows
Bayesian modelling
Phylogenetic methods
Noise ecology
Environmental change
Scientific writing
Statistical methods
Collaborative infrastructure

Scientific breadth

The team spans ecology, evolution, conservation, palaeoecology, marine science, behavioural biology, computing science, AI, and advanced statistics. That breadth matters because COSSEE's questions often need both biological insight and methodological rigor.

Shared workflows

Team science here means working with reusable code, transparent protocols, evidence-synthesis methods, and collaborative review processes so projects stay interpretable, extensible, and useful beyond one paper or one person.

Inclusive collaboration

COSSEE aims to be a place where different backgrounds strengthen the science. Respectful discussion, interdisciplinary exchange, and clear credit for contributions are part of how the lab works, not just values listed on a page.

Life at COSSEE

The gallery below complements the research profiles with something equally important: the shared texture of lab life. It captures meetings, everyday workspace moments, informal interactions, and the human side of collaborative science.

Backgrounds represented across the team

Evidence synthesis Meta-research Open science Ecology Evolution Conservation biology Marine science Palaeoecology Computing science Machine learning AI workflows Bayesian modelling Phylogenetic methods Noise ecology Environmental change Scientific writing Statistical methods Collaborative infrastructure

A team built across places and perspectives

COSSEE brings together people trained in different systems, methods, and countries. That diversity is visible in the scientific questions the lab can tackle, but it is also visible in the ways people learn from one another across roles and projects.

Australia Bangladesh Brazil Canada China Croatia Japan New Zealand Northern Ireland Philippines Serbia/Ireland United States