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Industrial Ph.D. student at Widex A/S and Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU) from January 2011 to January 2014. Master of Science in Electrical Engineering (M.Sc.E.E.) from DTU in September 2010.

Resume 

Currently, I am a Ph.D. student at Cognitive Systems group at the Department of Applied Mathematics and Computer Science (former Department of Informatics and Mathematical Modelling) at the Technical University of Denmark. My supervisor is Associate Professor Jan Larsen, DTU Compute. The Ph.D. project entitled "Systems for Personalization of Hearing Instruments" is done in collaboration with Widex A/S.

With a M.Sc.E.E. focusing on acoustics, the human auditory system, non-linear signal processing and machine learning, I am currently interested in non-parametric Bayesian modeling and Bayesian global optimization. Specifically, I use special Gaussian process models and active learning to model a user's perception of especially audio, ultimately, to improve the life-quality of for instance hearing-aid users. Over the past three years, I have published several scientific papers in the signal processing and machine learning community.

News

January 17, 2014Ph.D. dissertation submitted.

December 5-10, 2013: Attending Neural Information Processing Systems (NIPS) 2013 in Lake Tahoe, Nevada, USA.

October 17-20, 2013: Attending Audio Engineering Society 135th Convention in New York City, USA.

May 26-31, 2013: Attending IEEE International Conference on Acoustics Speech an Signal Processing (ICASSP) 2013 in Vancouver, Canada.

Bayesian Global Optimization


Personalized Hearing Aid Output (Article Submitted)