I'm a young researcher/data scientist with the main interest in improving the understanding and the accuracy of predictions of net carbon uptake by forest ecosystems, primarily using methods such as the eddy covariance technique, highly resolved point dendrometers, and meteorological sensors. Next to finishing my doctoral dissertation with Nina Buchmann at the ETH Zurich (Haeni 2014), I completed the Science and Policy graduate school at the Zurich-Basel Plant Science Center. I also spent several Short Term Scientific Missions in labs abroad. After my PhD, I had the opportunity to work as Post-Doc within ICOS, the Integrated Carbon Observation System Research Infrastructure (RI) and TreeNet, the biological drought and growth indicator network. Currently, I am employed as a Data Scientist at the WSL, working on several projects, particularly within the long-term forest ecosystem research programme LWF and within ICP Forests. I bring in a strong analytical and statistical background, especially when it comes to managing/processing big datasets, finding the most interesting and baffling patterns and visualisations. I am furthermore a Technical Consultant to the United Nations Convention to Combat Desertification (UNCCD), and last but not least, I am also involved with the founding of spin-off company/startup, dealing with data science.

Matthias Haeni
WSL Birmensdorf
Zürcherstrasse 111
8903 Birmensdorf

Email: matthias.haeni@wsl.ch
Bitbucket: https://bitbucket.org/datamat/
Github: https://github.com/datamat/
LinkedIn: https://ch.linkedin.com/in/haeni
ICP Forests: http://icp-forests.net/profile/Haeni
Xing: https://www.xing.com/profile/Matthias_Haeni2
WSL page: http://www.wsl.ch/personal_homepages/haeni