During his PhD, Julian Merder developed statistical techniques and software to improve the performance of ultrahigh-resolution mass spectrometry and derived new ways to link the composition of dissolved organic matter to biotic and abiotic factors. He is generally interested in all branches of ecology to better understand and quantify the dangers we will face under anthropogenic climate change. In the Michalak Lab, he will develop stochastic population models in conformance with global datasets to better understand the causes and frequencies of harmful algal blooms under changing climate.