Dr Toni Lassila
- Position: Lecturer
- Areas of expertise: scientific computing; numerical algorithms; computational fluid dynamics; finite element methods; reduced order models; uncertainty quantification; cardiovascular modelling.
- Email: T.Lassila@leeds.ac.uk
- Location: 6.06 E.C. Stoner Building
- Website: Googlescholar | Researchgate
Toni has a doctoral degree in Mathematics with expertise in numerical methods in cardiovascular modelling, reduced order models, and uncertainty quantification. He has previously worked at the Ecole Polytechnique Federale de Lausanne and the University of Sheffield, before joining the University of Leeds in August 2018. He has co-supervised two PhD students, and has in the past been involved with several European projects (ERC and FP7/H2020).
Toni's research interests are in the field of numerical methods for partial differential equations, specifically within the topics of reduced order models and uncertainty quantification. Applications of these methods can be found in the computational fluid dynamics simulations for the diagnosis and treatment of cardiovascular and cerebrovascular diseases. In the past, he has worked on the modelling of cardiovascular system, both in terms of the electrophysiology and the ventricular fluid dynamics. His current work focuses on combining patient-specific imaging and sensing with mathematical modelling to enhance the diagnosis and treatment of vascular diseases, while taking into account the physiological variability of vascular flow and its effects in the simulation model predictions.
- DSc. (Tech.)
- SIAM (Society of Industrial and Applied Mathematics)
Research groups and institutes
- Centre for Computational Engineering
- Computational Medicine