Hi! I’m an Assistant Professor in the Machine Learning for Mobility (MLSM) group in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). My main research focus lies on the development and application of machine learning for innovative decision support systems as well as the modeling of physical and social complex systems.
I received my PhD for the theoretical study of the statistical properties of complex systems and networks. I had substantial international postdoctoral experience related to statistical and machine learning modeling of physical and social complex systems, namely, analysis of financial time series, time series from atomic force microscopy and spatio-temporal prediction of transportation demand. My research also involved web data mining, information retrieval, natural language processing, and Bayesian modeling. I am also a co-PI and the development lead of the Organic Materials Database — an interdisciplinary project related to the development of the web database of quantum properties of organic materials providing advanced information retrieval tools.
Currently, I am working on machine learning for business analytics, urban planning, and materials science, with a particular focus on deep learning and generative modeling.