University of Oxford
11a Mansfield Rd
OX1 3SZ
UK
Research Fellow
Talitha Bromwich
Background
Talitha is an interdisciplinary researcher working at the intersection of food systems, biodiversity, environmental data science, and machine learning. Her work focuses on developing scalable, data-driven approaches to improve understanding of the environmental impacts of food production and consumption.
She is currently a Schmidt AI in Science Fellow in the Department of Biology and Senior Research Associate in Food Metrics and Biodiversity at the Smith School of Enterprise and the Environment. Her research combines machine learning, environmental impact assessment, and large-scale data integration to develop practical tools for sustainability research and decision-making.
Talitha has a diverse academic background spanning physics, biodiversity conservation, bioinformatics, and GIS spatial analysis. Prior to her current work, she conducted research on biodiversity footprinting, nature-positive strategies, conservation monitoring, and remote sensing approaches for habitat mapping, collaborating with organisations including Rewilding Britain, WWF UK, and the Wildlife Trusts. She continues to contribute expertise in biodiversity metrics, nature-positive frameworks, and environmental data accessibility through collaborations with international research and NGO policy teams.
She is currently a Schmidt AI in Science Fellow in the Department of Biology and Senior Research Associate in Food Metrics and Biodiversity at the Smith School of Enterprise and the Environment. Her research combines machine learning, environmental impact assessment, and large-scale data integration to develop practical tools for sustainability research and decision-making.
Talitha has a diverse academic background spanning physics, biodiversity conservation, bioinformatics, and GIS spatial analysis. Prior to her current work, she conducted research on biodiversity footprinting, nature-positive strategies, conservation monitoring, and remote sensing approaches for habitat mapping, collaborating with organisations including Rewilding Britain, WWF UK, and the Wildlife Trusts. She continues to contribute expertise in biodiversity metrics, nature-positive frameworks, and environmental data accessibility through collaborations with international research and NGO policy teams.
Research Interests
- Machine learning approaches for improving estimates of environmental impacts within complex food systems.
- Integrating and harmonising large, heterogeneous food and environmental datasets.
- Improving transparency, accessibility, and usability of environmental impact data.
- Biodiversity footprinting and LCA-based approaches to environmental assessment.
- Spatial analysis, GIS, and environmental mapping.
- Developing practical analytical tools to support evidence-based sustainability policy and research.
Current Research
Talitha’s current research focuses on improving our ability to estimate environmental impacts at the level of individual food products using machine learning and large-scale data integration approaches.
As part of her Schmidt AI in Science Fellowship and the THRIVING Food Futures programme, she is developing pipelines that link diverse food product and environmental datasets, estimate missing ingredient and impact information where data are incomplete, and support more detailed environmental assessment across complex food systems. Her work aims to create transparent and accessible tools that can support sustainability and health research, policy development, and decision-making.
Alongside this work, she collaborates with external research and NGO partners on approaches to improving access to environmental impact data and developing more robust methods for assessing environmental impacts and designing strategies to address them at national and international scales.
Brief CV
- 2026 – present – Schmidt AI in Science Fellow
- 2025 – present – Senior Research Associate in Food Metrics and Biodiversity, Smith School of Enterprise and the Environment
- 2023 – 2026 – Postdoctoral Researcher – Leverhulme Centre for Nature Recovery, Oxford
- 2022-2025 – Nature Positive Research Lead – Wild Business
- 2022-2023 – Freelance Researcher – Rewilding Britain
- 2011-2022 – MSc Global Biodiversity Conservation – University of Sussex
- 2018-2011 – Research Fellow in Human Population Genetics – University of Edinburgh
- 2014-2018 – PhD Particle Physics – University of Oxford
- 2010-2014 – MPhys Physics – University of Sussex
2018-2011 – Research Fellow in Human Population Genetics – University of Edinburgh
2014-2018 – PhD Particle Physics – University of Oxford
2010-2014 – MPhys Physics – University of Sussex