Etienne Manderscheid
About Etienne Manderscheid
Etienne Manderscheid serves as the Head of AI Research at Dialpad, where he has worked since 2020. He has over a decade of experience in machine learning and natural language processing, having previously held positions at Dialpad and TalkIQ.
Current Role at Dialpad
Etienne Manderscheid serves as the Head of AI Research at Dialpad, a position he has held since 2020. In this role, he focuses on advancing the company's initiatives in artificial intelligence, particularly in the areas of machine learning and natural language processing. His work involves coordinating solutions across various levels of the organization, with a strong emphasis on acoustic and language modeling in speech recognition.
Previous Experience at Dialpad
Before his current role, Etienne Manderscheid worked at Dialpad as the Vice President of AI - Machine Learning from 2018 to 2020. During his tenure, he contributed to the development of AI-driven solutions that enhanced the company's offerings in communication technologies. His experience at Dialpad laid the groundwork for his current leadership position in AI research.
Background in Data Science and AI
Prior to joining Dialpad, Etienne Manderscheid co-founded TalkIQ, where he served as the Head of Data Science from 2014 to 2018. TalkIQ specialized in speech recognition and analytics tailored for the inside sales industry. His leadership in data science at TalkIQ helped shape innovative approaches to speech analytics, contributing to advancements in the field.
Education and Academic Qualifications
Etienne Manderscheid holds a Doctor of Philosophy (Ph.D.) in Computational Neuroscience from the University of Chicago, which he completed from 2007 to 2014. He also earned a Bachelor of Arts (B.A.) in Mathematics from Oberlin College, where he studied from 2003 to 2007. Additionally, he completed his secondary education at Lycee Francais Charles de Gaulle, achieving a French baccalaureate in the scientific section from 1990 to 2003.
Expertise in Machine Learning and Natural Language Processing
With over a decade of experience in machine learning, natural language processing, and artificial intelligence, Etienne Manderscheid has developed a strong expertise in these fields. His interests lie in solving complex problems and building effective teams to tackle challenges in AI research. His focus on acoustic and language modeling demonstrates his commitment to advancing speech recognition technologies.