My primary research is in data science applied to a number of domains. I work with a number of signal modalities (biological, neural and behavioral signal; audio and video). In neuroscience and biomedical engineering I work with neural (EEG), physiological (HR, GSR, Respiration, Pupillometry) and behavioral (eye movements, annotations) signals. In the acoustical and image processing domain I work with both audio signals (speech and music) and video. This is all looking at cognitive and perceptual aspects of speech, music and video. Here I have been specifically looking at engagement, emotions, memory and learning.

My work is in the cross section between machine learning, digital signal processing, cognitive psychology and neuroscience.


2012-2015 Ph.D. at Cognitive Systems group. Department of Applied Mathematics and Computer Science, DTU.
2014 Visiting researcher at Center for Digital Music at Queen Mary University in London.
2007-2011 M.Sc. Engineering Acoustics, Technical University of Denmark.
2003-2007 B.Eng. Information and Communication Technology, Engineering College of Copenhagen (IHK).
2005 Visiting student at Royal Melbourne Institute of Technology.

Academic thesis

Ph.D. thesis titled “Predicting the emotions expressed in music”
Master thesis titled “Modelling of Emotions expressed in Music using Audio features“
Bachelor thesis titled: “Natural sound field synthesis in headphones”

Current position

2021-Now Research Associate at City College of New York in the department of Biomedical Engineering for Parra lab.

Previous positions

2017-2021 Postdoc at City College of New York in the department of Biomedical Engineering for Parra lab
2016-2017 Postdoc at Technical University of Denmark (DTU) Department of Applied Mathematics and Computer Science in the Cognitive Systems group.
2011 Research assistant at DTU Informatics.
2006-2007 Bachelor trainee and student help at Bang & Olufsen ICEpower A/S.


2013+2016 02450: “Introduction to Machine Learning and Data Modeling” (5 ECTS), TA
2012-2013 02451: “Digital Signal Processing” (10 ECTS), TA
2012-2013 02453: “Applied Digital Signal Processing” (5 ECTS), Project supervisor
2013+2016 02459/60 “Advanced Machine Learning” (5 ECTS), Project supervisor
2016 Big Data Business Academy, Lecturer

Master thesis supervisor

2016 Damir Sasivarevic, thesis titled “Activity recognition and repetition counting of cross-training exercises”.
2016 Stina Lyck Carstensen, thesis titled “Modeling the effect of music on human stress responses”.

Reviewer / PC member

IEEE Transactions on Affective Computing Special issue on Advances in Affective Analysis in Multimedia 2014, Affect and Sentiment an ACM MM’15 workshop and IEEE Transactions on Multimedia. IEEE Transactions on Multimedia

Awards and scholarships

Received the Danish Sound Young Researcher Award 2015. Received 21.5k EUR from the Danish Agency for Science, Technology and Innovation for the project called “Musik, Matematik og Følelser” (case no. 6163-00017B), received 17k EUR from H.C. Ørsteds foundation for the project “Modelling the Effect of Music intervention”. Received 6k EUR from A.N. Neergaard og Hustrus Fond for the project “Musikintervention til forbedring af dementes søvnkvalitet”. Furthermore, received travelling grants from Knud Højgaards foundation, Otto Mønsted foundation and Oticon foundation.