The team

The drEEM-team

Urban Wünsch

Urban is a researcher in the field of aquatic environmental chemistry. He has obtained his PhD at the Technical University of Denmark (DTU) in 2018 and since held postdoctoral positions at Chalmers University of Technology and DTU. Urban does research on Dissolved Organic Matter biogeochemistry with the aim to identify mechanisms of tranformation and degradation. He is also interested in innovative applications of optical sensors for in situ measurements. Urban is a teacher in the reocuring online workshop Parallel Factor Analysis for DOM fluorescence.

Since June 2025, Urban is an Assitant Professor at Chalmers University of Technology. He is the main developer of the toolbox since 2018.

Kathleen Murphy

Kate’s research focuses on the interpretation of fluorescence from dissolved organic matter in natural waters and the application of fluorescence for distinguishing between water sources and detecting changes in water quality. Recent research projects relate to detecting changes in organic matter character during recycled and drinking water treatment, and tracing the geographical origin of ships’ ballast water. She has instigated several open-source projects aimed at improving the modelling and interpretation of natural organic matter fluorescence, including the drEEM toolbox and the online database of fluorescence spectra OpenFluor. Kate is the course responsible of the reocuring online workshop Parallel Factor Analysis for DOM fluorescence.

Kate is a Associate Professor at Chalmers University of Technology (Gothenburg, Sweden) and is the original author of the drEEM toolbox (versions 0.1 to 0.3).

Ali Esmaeeli

Ali is an environmental engineer with a focus on developing methods and sensors for water treatability/quality prediction. Ali’s research group aim at using fluorescence technology to get a better understanding of water characteristics which could later be used in online and real-time sensors that are not currently available. Ali’s main supervisor in this path is Dr. Kathleen Murphy, who carries more than twenty years of knowledge in this area. The outcome of Ali’s research study can benefit a whole variety of different sectors at various levels. For example, by applying it in a treatment plant, one can produce cleaner water, using less resources, which in turn will help people, society as a whole, and the environment.

Ali is a PhD student at Chalmers University of Technology and is a contributor to the drEEM toolbox since 2024.

Rasmus Bro

Rasmus Bro is performing research on most aspect of machine learning and artificial intelligence within analytical chemistry (chemometrics). He is heading an industrial research consortium, ODIN, focusing on Process Analytical Technology (PAT) . He has been an editor of Journal of Chemometrics for many years and is the author of a number of Matlab toolboxes that are made freely available. Rasmus is a co-founder of Kromath, a startup offering the chemometrics software PARADISe for GC-MS analysis.

For the toolbox, Rasmus develops new, robust, and fast methods for performing machine learning. He has supported the PARAFAC analysis of DOM fluorescence since 2003.