Post-doctoral researcher at LUT-University. MSc degree in Financial and Actuarial Mathematics from Wroclaw University of Technology (2007), MSc in Technomathematics from Lappeenranta University of Technology (2008) and DSc in Applied Mathematics from Lappeenranta University of Technology (2011). Specializes in modeling financial markets, time series analysis, statistical modeling, as well as mathematical epidemiology. 9 years of experience in academic teaching (including an award for the best international teacher), covering mainly scientific computing, statistics and stochastic modeling, and calculus. In years 2013-2015 having coordinated the following capacity building projects between Finland and East Africa: NSS East Africa Technomathematics and HEI ICI Mathematics Education and Working Life Relevance in East Africa. Experienced participant in Modeling Weeks (both as a student, instructor and organiser) and Study Groups. Recently organized a successful ECMI Modeling Week at LUT in July 2017.

Projects

Mathematical modeling

I am an academic energy professional with a long history of energy education and research. I have in-depth understanding concerning renewables and the recent developments in the energy sector. The focus areas in my teaching and research activities are renewable energy and energy systems. Since 2020 my teaching focus has shifted to engineering mathematics.

Lassi Roininen is an associate professor (tenure track) in applied mathematics in the School of Engineering Science in Lappeenranta University of Technology. He is also an adjunct professor in applied mathematics in University of Oulu, Finland. He works on a broad spectrum from the fundamental mathematical inverse problems theory to applications in near-space remote sensing and subsurface imaging. He collaborates with high-level international research groups both in academia and industry. His research highlight is the development of the methodology of discretisation-invariant and computationally feasible priors for Bayesian inversion of function-valued unknowns. Applications include e.g. tomography (ionospheric, electrical impedance, X-ray) and radar pulse-compression coding and analysis methods.

Projects

Improving teacher's in-service training in Peru