Line Katrine Harder Clemmensen
Department of Applied Mathematics and Computer Science
Richard Petersens Plads
Building 324 Room 221
2800 Kgs. Lyngby
Deep learning Sparse methods Statistical modelling Machine learning
In my research, collaborations, and consultancy work I put my mind to obtaining feasible solutions to data problems. Interpretation and model generalization are at my heart. I like to contribute with models which can predict and explain issues of importance to our society, that being environmental, biological, industrial, or financial. Research interests: Macine learning, statistical modelling, deep learning, sparse methods.