Kate Mintram

Dr Kate Mintram serves as an Associate Lecturer in the Department of Computer Science at Brunel University London within the College of Engineering, Design and Physical Sciences, contributing to the Modelling and Simulation research group and teaching postgraduate data visualisation and undergraduate usability engineering courses.

Her academic foundation includes:

• BSc in Environmental Biology (First Class Honours) with Industrial Placement from Plymouth University (2014)
• PhD in Agent-based Simulation from the University of Exeter (2019), funded by BBSRC iCASE with Syngenta

Dr Mintram specializes in agent-based modeling of complex systems, with dual expertise in ecological applications (fisheries, ecotoxicology, climate change biology) and public health crises (pandemic modeling, supply chain resilience). Her methodology integrates data science and machine learning for big data analysis, addressing policy-relevant questions in environmental risk assessment and healthcare management through realistic simulation frameworks.

Analysis of her 15 most recent publications (2018-2024) reveals a strategic evolution: pre-2020 work focused on environmental toxicology and fish population dynamics, while 2020-2022 saw intensive pandemic modeling (CALMS/STAMINA projects), and 2023-2024 expanded into supply chain resilience and forced migration. This trajectory demonstrates exceptional adaptability in applying simulation techniques to emergent global challenges while maintaining core environmental research.

Her professional recognition includes:

• Fellow of the Higher Education Academy

Dr Mintram actively supervises final-year undergraduate projects and MSc dissertations while teaching core modules. Her research funding includes Horizon2020 (STAMINA project) and industry-collaborative PhD support from Syngenta. She brings cross-sector experience from AstraZeneca (industrial placement) and NGO animal welfare consultancy.

Embedded in Brunel's Modelling and Simulation group, she maintains an extensive co-author network spanning computational science, ecology, and public health domains, as evidenced by her ORCID profile (0000-0001-7180-9200).