معرفی
Lisa Kreusser is a researcher affiliated with the University of Bath, holding roles in the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), the Centre for Climate Adaptation & Environment Research (CAER), and the Institute for Mathematical Innovation (IMI). Her research focuses on the intersection of partial differential equations, data analysis, and mathematical formulations for machine learning, with applications in climate modeling, biology, engineering, and industry. She actively leads and collaborates on projects addressing challenges such as cloud parameterization in atmospheric models, diabetic foot ulcer care through digital health technologies, and neural network-based solutions for complex systems.
Her academic contributions span over 20 research outputs, emphasizing interdisciplinary approaches to nonlinear problems. Key areas include information propagation on graphs, stochastic differential equations in machine learning, and anisotropic diffusion models for pattern formation. Kreusser has secured funding for eight projects, demonstrating expertise in both theoretical and applied research. She is open to supervising doctoral students across topics in machine learning, climate science, and biological systems.
- Education: Advanced degrees in applied mathematics and computational science (specific details not provided).
- Grants: Includes projects on computational collective decision-making, weather prediction models using machine learning, and diabetic foot ulcer care technologies.
- Labs/Teams: Collaborates within multi-institutional teams, such as the Institute of Mathematical Innovation and CAER, driving interdisciplinary research initiatives.
