Mehdi Ghodrati Shojaei
Teaching Assistant
Helmholtz Centre for Polar and Marine Research
Alfred Wegener Institute
Germany
Biography
Mehdi Ghodrati Shojaei is a PhD student at Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research (AWI). Hereceiveda Bachelor’s degree in Biology from SBU (1998) and a Master’s degree in Marine Biology (2003) from TMU. Prior to his current position he joined the PGOSERI institute, as a researcher, where he focused on Fisheries science and trophic studies (2004-2010). He is carrying out his PhD project under the supervision of Prof. Dr. Thomas Brey in the department of functional ecology at AWI and University of Bremen. The project focuses on the effects of climate change and anthropogenic stressors on benthic macrofauna in the North Sea. During his PhD-research, he is developing marine macrofauna traits of as much as 300 taxa. He will use this trait information to study the structure of communities in terms of functional composition as well as linking traits to environmental variables. The specific aim of his study is to identify the climate variables best matched to biological trait patterns. Dynamic factor model is one of the several models and methods that he has currently applied to appropriately interpret the data. Mehdi Ghodrati Shojaei is a PhD student at Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research (AWI). Hereceiveda Bachelor’s degree in Biology from SBU (1998) and a Master’s degree in Marine Biology (2003) from TMU. Prior to his current position he joined the PGOSERI institute, as a researcher, where he focused on Fisheries science and trophic studies (2004-2010). He is carrying out his PhD project under the supervision of Prof. Dr. Thomas Brey in the department of functional ecology at AWI and University of Bremen. The project focuses on the effects of climate change and anthropogenic stressors on benthic macrofauna in the North Sea. During his PhD-research, he is developing marine macrofauna traits of as much as 300 taxa. He will use this trait information to study the structure of communities in terms of functional composition as well as linking traits to environmental variables. The specific aim of his study is to identify the climate variables best matched to biological trait patterns. Dynamic factor model is one of the several models and methods that he has currently applied to appropriately interpret the data.
Research Interest
Marine Biology