Mikkel Bue Lykkegaard
Project: Uncertainty Quantification for Large Scale and High-Dimensional Hydrogeological Inverse Problems
Supervisors: Prof Timothy Dodwell and Dr David Moxey
Mikkel holds a BEng degree in Arctic Technology (Civil and Environmental Engineering) from the Technical University of Denmark (DTU) and an MSc degree in Environmental Science from University of Aberdeen. During and after his undergraduate degree, Mikkel worked as a Construction Technician at Istak Hf on the simultaneous construction of five hydropower plants in a remote mountain valley in Norway. Mikkel has also worked as a Substitute Teacher, Bartender, Yoga-Teacher and Kindergarten Assistant in Denmark prior to starting his academic studies.
Mikkel’s research project is concerned with hydrogeological inversion – specifically using cutting-edge Markov Chain Monte Carlo (MCMC) techniques for groundwater flow parameter estimation and uncertainty quantification. He is particularly interested in the use of surrogate models in multi-level MCMC model hierarchies, and is currently exploring various Machine Learning techniques for ultra-fast approximation of model response.
His work has applications in both groundwater abstraction and remediation – improved estimates of groundwater flow patterns can improve decision support systems, allowing groundwater abstraction companies to make better sustainable yield estimates, and remediation companies to design taylor-made remediation campaigns.
- Environmental (geo-)hydrology and hydroinformatics
- Uncertainty quantification and model sensitivity analysis
- Distributed environmental models and surrogate models
- Environmental fate and risk assessment of pollutants