Sarah Verhulst
Project Coordinator
Ghent Metropolitan Area Belgium
Summary
👤
Senior🎓
Top SchoolSarah Verhulst is a multidisciplinary project coordinator and full professor leading the Hearing Technology Lab at Ghent University, where she translates auditory neuroscience into computational models and machine-learning–driven hearing technologies. With an electrical/acoustical engineering background and eight years of leadership experience, she has secured major funding including ERC and NIH awards and is currently coordinating the EarDiTech spin-off to commercialize a synaptopathy diagnostic device. Her research blends EEG, otoacoustic emissions, psychophysics and model-based diagnostics to push both fundamental auditory science and practical medical devices. She has held positions at Harvard Medical School, Boston University and DTU, reflecting deep international academic collaborations. A member and former vice-president within the Belgian Young Academy, she actively shapes science policy alongside her lab’s open repository of experimental protocols, models and datasets. Colleagues know her for combining rigorous biophysical modelling with an entrepreneurial drive to move innovations from bench to market.
8 years of coding experience
13 years of employment as a software developer
Msc., Engineering Acoustics, Msc., Engineering Acoustics at Danmarks Tekniske UniversitetIng., Industrial Engineering in Electronics - option design techniques, Ing., Industrial Engineering in Electronics - option design techniques at Groep T - Internationale Hogeschool Leuven
Dutch, English, French, Danish, German
Github Skills (13)
alto9
brain-computer-interface8
signal-processing7
machine-learning5
deep-learning4
convolution4
speech-enhancement1
python1
speech-recognition1
speech1
voice-activity-detection1
speech-processing1
speech-to-text1
Programming languages (2)
Github contributions (5)
HearingTechnology/Verhulstetal2018Model
Oct 2017 - Jun 2019
The model code for the Verhulst, Altoè, Vasilkov 2018 Hearing Research publication
Contributions:2 releases, 23 commits, 1 PR in 1 year 7 months
brain-computer-interfacedeep-learningaltohearing-researchconvolution
HearingTechnology/CoNNear_periphery
Jul 2022 - Mar 2023
This is the CoNNear human auditory periphery model that simulates cochlear, IHC and AN processing across the human hearing range.
Contributions:1 release, 2 pushes, 1 tag in 7 months
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