Berlin
Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
Postdoctoral Research Associate
More
Hossein is an environmentalist and data scientist specializing in machine learning. He holds a doctorate in environmental engineering from the University of Trento, Italy. He is passionate about using his data science skills to help solve environmental problems. He has worked on projects ranging from analyzing the impact of climate change on meandering rivers to predicting pollution levels in Tidal range structures, to using machine learning models(raging from Causal inference to supervised and unsupervised learning models) to study the ecological conditions of freshwater and inland water. Hossein has extensive experience in machine learning and has developed models to interpret water quality, identify pollution sources, and analyze satellite imagery. He believes that machine learning can be a powerful tool in the fight against climate change and works to integrate data-driven solutions into environmental policy. In his free time, Hossein enjoys hiking, birdwatching, taking photos and videos, and exploring the outdoors. He is also an advocate for sustainable living and actively promotes eco-friendly practices in his community.
April 2024