Deyu Ming wins award for open source AI software
Huge congratulations to Deyu Ming, one of the leads of the ADD-TREES project, who has been awarded a UCL Open Science Scholarship award 2025 for his work as lead developer of dgpsi, an advanced software that has helped to support AI projects at the forefront of sustainable solutions.
Dr Ming received the award at a ceremony at UCL in the Open-Source Software / Analytical Tools category, which recognises his outstanding contribution to the promotion of open science through the development of the open-source software package, dgpsi.
dgpsi Software
dgpsi, which stands for “deep Gaussian processes using stochastic imputation”, is designed to build high-performance, trustworthy and reusable machine-learning models for fast and scalable predictions.
The software is made available in both R and Python programming languages and freely accessible on public repositories such as GitHub, PyPI, Conda-forge and CRAN. Since its launch in 2021 dgpsi has surpassed 100,000 downloads worldwide across multiple operating systems, with 19 public releases.
dgpsi and ADD-TREES research project
When it comes to real-world usage, the software has helped underpin our ADD-TREES project, an AI research project that enables clients such as Defra (Department for Environment, Food & Rural Affairs) to design tree-planting strategies for carbon sequestration, while meeting biodiversity targets within land and budget constraints.
Powered by hundreds of models built with dgpsi, the ADD-TREES App can generate more than 300 million predictions in under one minute, delivering real-time exploration of land-use scenarios.
