Staff profile

Education

• 2025 - Present: MSc by Research in Computational Geoscience (specialising in Hydrology), Durham University; supervised by Dr Andrew Valentine and Dr Julia Knapp
  • Thesis: "A Trans-Dimensional Bayesian Inference Framework for Predicting Flood Response"
• 2022 - 2025: BSc (Hons) Environmental Geography, University of York

Research Interests

• Physics-informed machine learning for hydrological modelling
• Probabilistic and Bayesian flood/drought forecasting
• Catchment ecohydrology and hydrological connectivity
• Computational methods in the environmental sciences

Esteem Indicators

• 2025: Stephen Mills Studentship, Durham University
• 2025: Best Academic Performance in BSc Environmental Geography, University of York
• 2024: York Award, University of York
• 2024: NERC-funded Research Internship, UK Centre for Ecology and Hydrology

Publications

• Chevuturi, A., Oltmanns, M., Abbott, I., et al. (2025). Novel and Skillful Ocean-Based Predictors for European Hydro-Meteorological Extremes. EGU General Assembly 2025, Abstract EGU25-1470. https://doi.org/10.5194/egusphere-egu25-1470
• Abbott, I., Hill, J., & Lee, K. (manuscript in preparation). Towards a Global Biophysical Framework for Understanding Coral Larvae Connectivity.