Julia Erb
About Julia Erb
Julia Erb is a Hearing Scientist at Mimi Hearing Technologies GmbH, specializing in computational modeling of neuroimaging data related to auditory processing. She has a strong background in translational neuroscience, focusing on aging and hearing loss, and has held various research positions in Germany, the Netherlands, Brazil, and France.
Work at Mimi Hearing Technologies
Julia Erb serves as a Hearing Scientist at Mimi Hearing Technologies GmbH, a position she has held since 2021. In this role, she applies her expertise in auditory processing and translational neuroscience to develop innovative solutions for hearing loss. Her work contributes to the company's mission of enhancing hearing technologies through scientific research and application.
Education and Expertise
Julia Erb has an extensive educational background in neuroscience and psychology. She earned a Bachelor of Science in Biomedicine from Julius-Maximilians-Universität Würzburg, followed by a Master of Science in Neurobiology and Neuroscience from Université Pierre et Marie Curie. She completed her doctoral studies at Universität Leipzig, obtaining a Dr. rer. nat in Psychology. Her specialization includes computational modeling of neuroimaging data related to auditory processing.
Background
Julia Erb has held various research positions throughout her career. She worked as a Postdoctoral Researcher at Universität zu Lübeck from 2018 to 2021 and at Universiteit Maastricht from 2014 to 2017. Additionally, she was a Visiting Research Fellow at Instituto D'Or de Pesquisa e Ensino in Brazil for five months in 2014 and completed a Graduate Research Internship at Ecole normale supérieure in France in 2009.
Achievements
Julia Erb has made significant contributions to the field of auditory processing and translational neuroscience. Her research focuses on the effects of aging and hearing loss on auditory processing, with expertise in both cortical and subcortical auditory systems. Her work in computational modeling enhances the understanding of neuroimaging data, contributing to advancements in hearing science.