Who we Are
We are the John Lab, a research group led by Professor Cédric John and hosted in the Digital Environment Research Institute (DERI) at Queen Mary University of London. At DERI, Professor John leads the Data Science for the Environment and Sustainability Research Platform, one of four key research directions for the institute. Before joining DERI, the group was based for nearly 16 years in the Department of Earth Science and Engineering at Imperial College London.
Our research approach blends machine learning and AI with cutting edge field and experimental methods in Earth and Planetary Sciences. The Digital Environment Research Institute is the centre of digital, data science, and AI research at Queen Mary and it underpins the university’s vision for its research Strategy 2030. For us, DERI is the perfect home for an interdisciplinary team working on scientific machine learning applied to environmental and Earth Science problems.
DERI and Queen Mary University of London are affiliated with the Alan Turing Institute.
Testimonials
Hear what former members of the lab have to say about their time with us.
research Highlights
We have two main research themes: Applied Artificial Intelligence for Earth and Space Sciences (we call it Earth-Centric AI) and Carbonate Research. You can also find about our publications and the software and data stemming from our research.
AI Research
Our group applies data-centric machine learning techniques to Earth and planetary sciences, leading to innovative approaches for analyzing and interpreting data in these fields.
Carbonate Research
Our research in carbonates focuses on the processes involved in their formation and alteration, and how these processes impact the geochemistry and stratigraphy of carbonate rocks.
Publications
Our group has published over 100 peer-reviewed papers in a variety of fields, including clumped isotopes, carbonate diagenesis, climate change, stratigraphy, AI and machine learning.
Software and Data
Our research has led to the development of free software tools that have been widely used by researchers in our fields. These tools have made it easier to analyze and interpret data..