Curriculum Vitae

2022 – present

Climate Analyst
Climate Scale – High Resolution Climate Data for Climate Change Risk Assessments

2016 – 2021

PhD: Extreme Convective Precipitation Events in a Changing Climate.

Delft University of Technology, Department of Geoscience & Remote Sensing.

Recording of the Doctoral Defense

2016 – 2020

Researcher, Koninklijk Nederlands Meteorologisch Instituut (KNMI). Department of Weather & Climate Models

5/2018

Guest Researcher, Contact: Jan O. Haerter, Niels Bohr Institute. University of Copenhagen

2012 – 2015

Master of Science, University of Augsburg. Climate and Environmental Sciences

Invited speaker

Can we trust this data? Toward robust estimation of impacts of climate change on wind resources, Wind Europe 2023, Copenhagen, 2023

Invited speaker

Extreme convective rainfall events: response of intensity and spatial characteristics to a warmer atmosphere, Colloquium, KNMI, Utrecht, Dec. 2019.

Invited speaker

The changing characteristics of convective precipitation with varying temperature and moisture availability in large eddy simulations, Workshop on understanding Convective Self-Organization, Niels Bohr Institute, Copenhagen, Apr. 2018.

Talk

Skill of wind resource forecasts on the decadal time scale. EGU General Assembly 2024, Vienna, Austria, Apr. 2024

Talk

The spatial extent of rain fall events and its
relation to precipitation scaling, Boundary Layer and Turbulence BBOS workshop, Delft University of Technology, Delft, Netherlands, Jun. 2019.

Talk

Response of extreme precipitating cell structures
to atmospheric warming, Boundary Layer and Turbulence BBOS workshop, Delft University of Technology, Delft, Netherlands, Jun. 2017.

Poster

Cold Pool Dynamics Shape the Response of Extreme Rainfall Events to Climate Change, Workshop on Spatial Organisation of Convection, Clouds and Precipitation, Copenhagen (online), May. 2021.

Poster

Response of extreme precipitating cell structures to atmospheric warming, Latsis Symposium, Zurich, Apr. 2019.

Poster

Response of extreme precipitating cell structures to atmospheric warming, Understanding Clouds and Precipitation, Berlin, Feb. 2019.

Poster

Extreme convective rainfall at the event scale: results from high resolution rain radar data, European Geosciences Union General Assembly, Vienna, Apr. 2018.

Space2rain

Exploring spatial and temporal dependencies of rainfall extremes to enable adaptation in The Netherlands delta, Funding: Dutch Research Council (NWO).

SPACELES

Spatial and temporal dependencies extreme precipitation in a warming climate using large eddy simulation, Funding: ECMWF.

Programming

I use R in most of my projects for data analysis, statistical modeling and visualization. Recently, I’ve gotten into tensorflow and keras in R. Also, I am fluent in FORTRAN, since I had to modify code in atmospheric models. Plus, I also programmed my own rain cell tracking software in this language. I use python for application programming and, occasionally, for data analysis. But, I see the great potential of python in the field of machine learning.

Check my GitHub page for more information about code projects that I’m working on.

Tools

Whenever there is a way of using existing programs, I will do it. The most prominent example in this category is cdo (climate data operators). For automation, I rely on bash shell scripting. Another example is QGis, a geographical information system.

High performance computing (HPC)

I am familiar and routinized in running heavily parallelized applications on HPCs, such as atmospheric models. Single program multiple data applications are another staple of my HPC skill set.

Version control

Git is the tool of my choice for this task. I use it extensively for my software projects and even for writing journal articles in LaTex.