Staff

Jonas Sukys

Dr. Jonas Sukys

Department Systems Analysis, Integrated Assessment and Modelling

About Me

Head of the Scientific Computing group,

at the Department of Systems Analysis, Integrated Assessment and Modelling.

I am currently working on four projects:

1) SPUX: Parallelization and deployment of scalable Particle Markov Chain Monte Carlo (PMCMC) framework implementing Bayesian uncertainty quantification for stochastic models in environmental data sciences. Multi-level variance reduction techniques and dynamic parallel load balancing are employed to mitigate significant computational requirements. Applications include realistic river invertebrate mesocosms using Individual Based Models (IBMs) and SDEs, ground water flow propagation using SPDEs, and stochastic 2-D urban flood analysis.

2) DATALAKES: Bayesian Inference for Geneva and other Lakes with remote sensing and in-situ measurement data assimilation using Kalman and particle filters, empirical dynamics methods and large scale numerical simulations of hydrological and ecological models. Multi-level variance reduction techniques are employed to allow for realistic hydrological model resolutions while keeping accurate uncertainty estimates.

3) PHMC: Parallelization potential study for the Hamiltonian Monte Carlo methods with potential applications in water catchment modeling and solar physics

4) LAKEWAVES: Coupling of the PyMLMC parallel sampling framework and the non-hydrostatic multi-layer solver for landslide induced tsunami wave propagation.

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Projects

How to investigate the spatial variability in lakes?

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Address

E-Mail: jonas.sukys@eawag.ch
Phone: +41 58 765 5310
Fax: +41 58 765 5802
Address: Eawag
Überlandstrasse 133
8600 Dübendorf
Office: FC D10

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