Oxford-educated environmental finance expert with deep industry knowledge and links in the academic, NGO, governmental and private sectors. Adrien has spearheaded global climate & conservation finance efforts since 2017 through collaborations leading to the creation of the world's first bankable nature-based solutions (2017), the Oxford Offsetting Principles (2019), the first landscape-sized NBSs for climate adaptation (2021) & QNature (2022)

Climate, risk-resilience-sustainability nexus researcher, using geospatial data science approaches (e.g., spatial statistical modeling, machine learning, geo-visualization /analytics) to quantify various climate-nature parameters and inform best-in-class adaptation measures

Leading global biodiversity specialist. Ten-year machine learning, data science & remote sensing innovation track record. Co-developed the first NBS quantitative analytics framework (Oxford NBS Initiative).

Climate expert with over six years of research experience developing atmospheric/climate precision models through sophisticated data science techniques. Advanced the field of climate ML ensemble modelling

Geospatial data engineer with python & ML expertise. His previous work leading Sylvera's geospatial ML division pioneered the field of carbon offset AI.

Lead full-stack software engineer & developer with over 20 years of experience developing data-intensive applications. Ranked amongst the top 2% of developers globally.