My interests lie in harnessing advanced signal processing and neural
network technologies to address critical challenges in communication and healthcare.
During my Ph.D., I concentrated on real-time speech enhancement using
microphone arrays and deep learning, which not only advanced my understanding of
human auditory patterns but also made me realize the importance of computational
efficiency in bringing these technologies into real-world applications. Motivated by
this, I joined the Institute of Neuroinformatics UZH-ETHz as a postdoc. Here I focus
on developing computationally resource-efficient neural networks for speech signal
processing by drawing inspiration from the brain's efficient computation paradigms.
These advancements are crucial for applications such as hearing aids and speech-
for-health technologies on edge devices. My work aims to bridge the gap between
innovative technology and the practical demands of speech-centric medical
applications, ensuring they are accessible, efficient, and impactful in transforming
healthcare.