Line Katrine Harder Clemmensen


Line Katrine Harder Clemmensen

Department of Applied Mathematics and Computer Science

Richard Petersens Plads

Building 321 Room 134

2800 Kgs. Lyngby



Line Katrine Harder Clemmensen


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.