Nina Hristozova
About Nina Hristozova
Nina Hristozova is an Applied Research Scientist specializing in Natural Language Processing at Thomson Reuters in Zug, Switzerland. With a background in computer science and extensive experience in both academic and industry settings, she focuses on leveraging machine learning techniques to address NLP challenges.
Work at Thomson Reuters
Nina Hristozova has been employed at Thomson Reuters since 2019, initially as a Junior Applied Research Scientist in Natural Language Processing (NLP) for one year. In 2020, she advanced to the role of Applied Research Scientist, NLP, where she continues to work in Zug, Switzerland. Her responsibilities include applying machine learning and deep learning techniques to address business challenges related to NLP.
Education and Expertise
Nina Hristozova earned a Bachelor's Degree in Computer Science from the University of Glasgow, where she studied from 2014 to 2018. Prior to this, she completed her secondary education at a Mathematics High School, focusing on Mathematics and Informatics from 2008 to 2014. Her educational background provides a strong foundation for her expertise in machine learning and NLP.
Background
Nina Hristozova's professional journey began with various roles at the University of Glasgow, including Lab Demonstrator in Python and Enterprise Intern at the Careers Service. She also served as a Student Representative for the School of Computer Science. In addition, she gained experience as a Software Engineering Intern at holo|one and as a Data Science Intern at Thomson Reuters before her current role.
Achievements
Nina Hristozova delivered a talk on Text Explainability and Summarization of Legal Documents at the Grace Hopper Conference EMEA 2021. She has also played a significant role in the NLP Zürich community as a co-organizer, contributing to the advancement of AI and NLP initiatives in the region. Her commitment to mentoring reflects her dedication to supporting others in their professional development.