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After finishing my master in computer science at the university of technology in vienna, I decided that I wanted to apply some of the stuff I've learnt in a useful field and enrolled in the doctoral school sustainable development at the university of natural resources and life sciences, also in Vienna. During my doctoral studies, I developed a model to assess bioenergy policies with respect to their techno-economic performance and their effects on greenhouse gas emissions [http://www.sciencedirect.com/science/article/pii/S0306261909004942 Pub1]
After finishing my master in computer science at the University of Technology in Vienna, I decided that I wanted to apply some of the stuff I've learnt in a useful field and enrolled in the doctoral school sustainable development at the University of Natural Resources and Life Sciences (BOKU), also in Vienna. During my doctoral studies, I developed a model to assess bioenergy policies with respect to their techno-economic performance and their effects on greenhouse gas emissions [http://www.sciencedirect.com/science/article/pii/S0306261909004942 Pub1] [http://www.sciencedirect.com/science/article/pii/S0961953411003989 Pub2] with a special focus on the assessment of uncertainty.
 
Not very convinced of the data intensive, large scale modeling efforts applied in my PhD thesis, I went on to use much simplier models in my post-doctoral research which I'm conducting at the Joint Research Center in Petten, Netherlands, at
 


I'm a post-doctoral researcher at the University of Natural Resources and Life Sciences in Vienna. Currently, I focus on the modeling of intermittent renewables, particularly wind and photovoltaic production. The distribution of their spatial and temporal production potentials requires the design of advanced market regulations and subsidy policies to allow for a large-scale integration of intermittent producers in the electricity system. My interest in agent based models increased significantly in the last year as I understand that it is a tool that can better account for interactions and learning of participants in electricity markets than the traditionally applied optimization models can do.
I'm a post-doctoral researcher at the University of Natural Resources and Life Sciences in Vienna. Currently, I focus on the modeling of intermittent renewables, particularly wind and photovoltaic production. The distribution of their spatial and temporal production potentials requires the design of advanced market regulations and subsidy policies to allow for a large-scale integration of intermittent producers in the electricity system. My interest in agent based models increased significantly in the last year as I understand that it is a tool that can better account for interactions and learning of participants in electricity markets than the traditionally applied optimization models can do.
I like mountain biking and hope to have some good opportunities in Santa Fe.
I like mountain biking and hope to have some good opportunities in Santa Fe.

Revision as of 04:09, 5 June 2013

Complex Systems Summer School 2013

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After finishing my master in computer science at the University of Technology in Vienna, I decided that I wanted to apply some of the stuff I've learnt in a useful field and enrolled in the doctoral school sustainable development at the University of Natural Resources and Life Sciences (BOKU), also in Vienna. During my doctoral studies, I developed a model to assess bioenergy policies with respect to their techno-economic performance and their effects on greenhouse gas emissions Pub1 Pub2 with a special focus on the assessment of uncertainty.

Not very convinced of the data intensive, large scale modeling efforts applied in my PhD thesis, I went on to use much simplier models in my post-doctoral research which I'm conducting at the Joint Research Center in Petten, Netherlands, at


I'm a post-doctoral researcher at the University of Natural Resources and Life Sciences in Vienna. Currently, I focus on the modeling of intermittent renewables, particularly wind and photovoltaic production. The distribution of their spatial and temporal production potentials requires the design of advanced market regulations and subsidy policies to allow for a large-scale integration of intermittent producers in the electricity system. My interest in agent based models increased significantly in the last year as I understand that it is a tool that can better account for interactions and learning of participants in electricity markets than the traditionally applied optimization models can do. I like mountain biking and hope to have some good opportunities in Santa Fe.