Laura Rose, MSc
Visiting Researcher
I have a MSc in Biomedical Engineering from the Technical University of Denmark, during which I have directed my studies towards signal processing, computational data analysis and machine learning. A particular interest for machine learning and how it can be used to further our understanding of sleep has led me to pursue projects such as Validation and Optimization of Automatized Sleep Spindle Detectors in Elderly Healthy Subjects and Patients with Parkinson’s Disease, A Mathematical Model of Hyporectin Neurons’ Synaptic Efficacy in Different Patterns of Sleep and A Dynamical Model of the Circadian Rhythm-Synchronization. I am currently a Ph.D.-student at the University of Copenhagen, where I am investigating how we can use different deep learning models to automatize the manual sleep stage classification procedure, identify biomarkers and find new substages of sleep/wake in mice. I love to spend my free time on crossfit and roadbiking.
Latest Publications
Michel Lecendreux and Giuseppe Plazzi and Yves Dauvilliers and Carol L Rosen and Chad Ruoff and Jed Black and Rupa Parvataneni and Diane Guinta and Y Grace Wang and Emmanuel Mignot
Emmanuel Mignot and Carol L Rosen and Diane Menno and Y Grace Wang and Judi Profant and Yves Dauvilliers
Emmanuel Mignot and Carol L Rosen and Diane Menno and Y Grace Wang and Judi Profant and Yves Dauvilliers
Y Dauvilliers and GJ Lammers and M Lecendreux and G Plazzi and K Maski and S Kansagra and E Mignot and D Menno and Y Wang and CL Rosen
Emmanuel Mignot and Carol L Rosen and Diane Menno and Grace Wang and Judi Profant and Yves Dauvilliers
Giuseppe Plazzi and Chad Ruoff and Michel Lecendreux and Yves Dauvilliers and Carol L Rosen and Jed Black and Rupa Parvataneni and Diane Guinta and Youyu Grace Wang and Emmanuel Mignot
M Lecendreux and G Plazzi and Y Dauvilliers and CL Rosen and C Ruoff and J Black and D Guinta and R Parvataneni and YG Wang and E Mignot