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Sven Willner
Software Engineering Manager at Max Planck Institute for Meteorology
Hamburg, Germany
- Physicist with profound experience in numerical modeling and simulation of complex systems scaling from simple proof-of-concepts to high-performance models - Strong software engineering background in low-level C/C++ as well as Python and JavaScript applied to embedded systems, numerical models, and statistical analyses
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492.7
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C++
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Python
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Jupyter Notebook
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C
189.1
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Shell
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List your work history, including any contracts or internships
Max Planck Institute for Meteorology
Oct 2021 - Present (3 years 1 month)
Software Engineering Manager
PIK - Potsdam Institute for Climate Impact Research
12 years 9 months
Researcher
Feb 2013 - Present (11 years 9 months)
At the interdisciplinary boundary of physics and complexity economics, investigating the economic losses due to extreme weather events along the global supply network.
- Development and implementation (C++14) of the complex Acclimate model for loss-propagation of climate shocks in the global supply network (source code on GitHub): Agent-based model with currently ~7000 agents involving non-linear optimization under inequality constraints. After an extreme weather shock, controlling for resolving back to an unperturbed baseline state to estimate the system’s overall response with the ultimate goal of deriving possible adaptation strategies.
- Development of open research software, in particular implementations of simple climate models (OpenSCM, pyhector, pymagicc)
- Applying and adjusting physical models (hydrological, river routing, climate models)
- Processing and analyzing gridded time series (Python, C++, GPU/CUDA, HPC)
- Development and implementation (C++14) of the complex Acclimate model for loss-propagation of climate shocks in the global supply network (source code on GitHub): Agent-based model with currently ~7000 agents involving non-linear optimization under inequality constraints. After an extreme weather shock, controlling for resolving back to an unperturbed baseline state to estimate the system’s overall response with the ultimate goal of deriving possible adaptation strategies.
- Development of open research software, in particular implementations of simple climate models (OpenSCM, pyhector, pymagicc)
- Applying and adjusting physical models (hydrological, river routing, climate models)
- Processing and analyzing gridded time series (Python, C++, GPU/CUDA, HPC)
Researcher
Feb 2012 - Present (12 years 9 months)
At the interdisciplinary boundary of physics and complexity economics, investigating the economic losses due to extreme weather events along the global supply network.
- Development and implementation (C++14) of the complex Acclimate model for loss-propagation of climate shocks in the global supply network (source code on GitHub): Agent-based model with currently ~7000 agents involving non-linear optimization under inequality constraints. After an extreme weather shock, controlling for resolving back to an unperturbed baseline state to estimate the system’s overall response with the ultimate goal of deriving possible adaptation strategies.
- Development of open research software, in particular implementations of simple climate models (OpenSCM, pyhector, pymagicc)
- Applying and adjusting physical models (hydrological, river routing, climate models)
- Processing and analyzing gridded time series (Python, C++, GPU/CUDA, HPC)
- Development and implementation (C++14) of the complex Acclimate model for loss-propagation of climate shocks in the global supply network (source code on GitHub): Agent-based model with currently ~7000 agents involving non-linear optimization under inequality constraints. After an extreme weather shock, controlling for resolving back to an unperturbed baseline state to estimate the system’s overall response with the ultimate goal of deriving possible adaptation strategies.
- Development of open research software, in particular implementations of simple climate models (OpenSCM, pyhector, pymagicc)
- Applying and adjusting physical models (hydrological, river routing, climate models)
- Processing and analyzing gridded time series (Python, C++, GPU/CUDA, HPC)
Jun 2010 - Dec 2013 (3 years 6 months)
Software Developer
i.a. for SEVENSTAX GmbH, Hannover, Germany
with Akator Systems GbR, Münster, Germany (co-founder)
Selected projects:
- Smart-Web-Interface for process technology meters: Implementation of a REST interface for a proprietary embedded webserver on the server and client side. Separating device and UI state with a flexible interface built-up from information on the capabilities of the device. Testing with Selenium on a simulated device. Follow-up projects were a dynamic site generation using XML/XSL and a dynamic desktop-like interface with asynchronous communication to the device.
- Vehicle-to-grid (V2G) protocol implementation (link; DIN/ISO norm for communication between an EV charging station and an electric vehicle for control of charging in the Combined Charging System): Embedded implementation of the asynchronous message passing using EXI byte stream (binary XML) for the client (EV) side. Involved a tick-based real-time scheduling while optimizing for low RAM and ROM usage under strict requirements of the automotive MISRA-C:2004 standard.
- iOS app Optimized: From-scratch development using a hybrid framework for an end user-oriented app for self-quantization with a sophisticated analysis feature.
with Akator Systems GbR, Münster, Germany (co-founder)
Selected projects:
- Smart-Web-Interface for process technology meters: Implementation of a REST interface for a proprietary embedded webserver on the server and client side. Separating device and UI state with a flexible interface built-up from information on the capabilities of the device. Testing with Selenium on a simulated device. Follow-up projects were a dynamic site generation using XML/XSL and a dynamic desktop-like interface with asynchronous communication to the device.
- Vehicle-to-grid (V2G) protocol implementation (link; DIN/ISO norm for communication between an EV charging station and an electric vehicle for control of charging in the Combined Charging System): Embedded implementation of the asynchronous message passing using EXI byte stream (binary XML) for the client (EV) side. Involved a tick-based real-time scheduling while optimizing for low RAM and ROM usage under strict requirements of the automotive MISRA-C:2004 standard.
- iOS app Optimized: From-scratch development using a hybrid framework for an end user-oriented app for self-quantization with a sophisticated analysis feature.