Ulrich Soeffing
About Ulrich Soeffing
Ulrich Soeffing serves as the VP of Engineering and Machine Learning at MarketMuse, where he has worked since 2022. He has a background in International Business Administration and extensive experience in natural language understanding and machine learning.
Current Role at MarketMuse
Ulrich Soeffing serves as the VP of Engineering and Machine Learning at MarketMuse, a position he has held since 2022. He is based in Montreal, Quebec, Canada. In this role, he oversees engineering and machine learning initiatives, contributing to the development of advanced technologies in content generation and natural language processing.
Previous Positions at MarketMuse
Before his current role, Ulrich Soeffing held several positions at MarketMuse. He worked as Director of Engineering and Machine Learning from 2020 to 2022. Prior to that, he served as Data Science Manager from 2018 to 2022 and as Lead Data Scientist from 2017 to 2018. His tenure at MarketMuse began as a Data Scientist from 2016 to 2017, allowing him to build a comprehensive understanding of the company's data-driven projects.
Educational Background
Ulrich Soeffing studied at Erasmus University Rotterdam, where he earned a Bachelor’s degree in International Business Administration. His studies spanned from 2008 to 2011, providing him with a solid foundation in business principles and practices that complement his technical expertise.
Research and Interests
Ulrich Soeffing is engaged in research focused on technologies for natural language understanding, reasoning, and cohesive text generation. He has a keen interest in Arxiv, which indicates his commitment to staying updated with the latest advancements in the field of natural language processing and machine learning.
Previous Experience in Engineering
Before joining MarketMuse, Ulrich Soeffing worked at Zooppa as a Senior Backend Engineer from 2014 to 2016. This role contributed to his technical skills and experience in backend development, enhancing his capabilities in engineering and data science.