Zurich, Zurich, Switzerland
SNSF Assistant Professor at the University of Zurich and PI of the Deep Hearing Lab based within the ORL department and CI centre at University Hospital Zurich. My goal is to improve the perception of sound by people with hearing difficulties and to enhance healthcare by using computational methods. I hold a 5-year Starting Grant from the Swiss National Science Foundation. I am still affiliated with the MRC Cognition and Brain Sciences Unit, University of Cambridge, where I started the Deep Hearing Lab as an MRC Career Development Fellow in 2021. I earned my PhD as an EU Marie Curie Fellow (www.icanhear.eu) at the University of Southampton in 2017, and then worked as a Postdoctoral Scientist with Bob Carlyon, Brian CJ Moore and Jessica Monaghan in Cambridge and Sydney. Before coming to Cambridge, I was a visiting researcher at Macquarie University in Australia and worked as R&D Engineer in the Automotive Industry in Germany. I am an Associate Editor at Trends in Hearing, a Guest Editor at Ear and Hearing and Co-Founder of the Computational Audiology Network. In 2021, I started the Deep Hearing Lab (www.deephearinglab.com). Our research spans the sound-to-perception process with hearing devices and focuses on methods to improve speech understanding and sound perception in realistic situations for people with hearing loss. We work at the interface between applying and gathering scientific insights and developing applications to future hearing devices and clinical methods using AI, computational and web-based tools.
Leading a research team (the Deep Hearing Lab) funded by an SNSF Starting Grant. Our research aims to improve hearing technology such as cochlear implants, develop clinical applications for audiology and to understand the limitations and perception mechanisms in people with hearing loss. We combine computational and experimental methods in an interdisciplinary approach across engineering, medicine and neuroscience.
CAN organizes the yearly Virtual Conference on Computational Audiology (VCCA), hosts the CAN Seminar Series (CANS) and initiates and implements community-focused events to build research networks, facilitate multidisciplinary collaboration and support the next generation of hearing scientists and audiological experts in the space of computational hearing healthcare.
Senior Research Scientist leading a research team: www.deephearinglab.com I held an MRC Career Development Award Fellowship (MR/T03095X/1, Value: £1,025,336), was Supervisor on a Postdoctoral Fellowship to Dr Gaultier from Fondation pour L'Audition and received as Principal Investigator four Research Grants from The Newton Trust / The Wellcome Trust ISSF, The Evelyn Trust, MRC CiC and RNID. Our research focuses on hearing devices such as cochlear implants, hearing aids and hearables. We investigate speech perception, perceptual and cognitive factors with hearing loss, develop new processing strategies and clinical applications. We use methods from neuroscience, psychophysics, computational modelling, electrophysiology and deep learning as well as perceptual experiments with volunteers.
Research and development of algorithms and optimization strategies for cochlear implants and hearing aids. Managed and implemented complex medical research projects including psychophysical and direct-stimulation testing with clinical populations. Responsible for study design, software programming, experimentation, statistical analyses, publication in peer-review journals and presentations at leading international conferences. Initiated independent collaborations, co-supervised graduate students and won two small research grants.
Postdoctoral Research on Noise Reduction for Cochlear Implants at the Australian Hearing Hub in Sydney. Funded by a Visiting Fellowship by Cochlear Ltd. and Macquarie University. Collaboration with National Acoustic Laboratories (cortical signal analysis w. machine learning)
Research (PhD) in Auditory Science and Machine Learning with thesis on "Improving speech perception in noise by people with hearing loss". Funded by an EU Marie Curie Fellowship. - Collaboration & secondment with Cochlear Ltd., Research and Technology Centre, Belgium - Collaboration & secondment with University Hospital Zurich / University of Zurich, Switzerland