Roland Siegbert

Background

About Roland Siegbert

With over 9 years of experience in data science, machine learning, and software engineering, I am passionate about applying my skills and knowledge to innovate and improve hearing solutions. As an R&D in Audiology at Sonova Group, I work on developing and enhancing advanced algorithms and models for hearing aids, cochlear implants, and other hearing-related products and services. My expertise lies in natural language processing, information extraction, automatic summarization, process mining, and business execution, using various tools and frameworks such as Python, Celonis, and neural probabilistic language models. I have a strong research background, with a Dr-Ing. in Computer Engineering Science and a Dipl-Phys. in Physics and Biomedtech. from RWTH Aachen University, where I also received awards and recognition for my exceptional service and contribution. I am always eager to learn new technologies and methods, and to collaborate with other experts and stakeholders in the field of audiology and hearing health.