Alyona Medelyan 🇺🇦
About Alyona Medelyan 🇺🇦
Alyona Medelyan is the Co-Founder and CEO of Thematic, where she leads the development of AI solutions for analyzing customer feedback. With a strong academic background in Natural Language Processing and Machine Learning, her research has been widely cited and has significantly influenced the field.
Work at Thematic
Alyona Medelyan serves as the Co-Founder and CEO of Thematic, a role she has held since 2016. Under her leadership, Thematic has secured significant clients, including LinkedIn, Atlassian, and DoorDash, with an initial funding of one million dollars. Thematic's AI solution, designed by Medelyan, enables users to understand AI-generated insights from customer feedback, enhancing trust and customization. The company's impact is substantial, with billions of users interacting with products from its clients daily.
Education and Expertise
Alyona Medelyan holds a Doctor of Philosophy (PhD) in Natural Language Processing and Machine Learning from The University of Waikato, where she studied from 2005 to 2009. She also completed a Magister Artium in German Linguistics, Computer Science, and Computational Linguistics at the University of Freiburg from 2000 to 2005. Additionally, she participated in Y Combinator's S17 program in 2017. Her academic work in Artificial Intelligence has been cited by over 3,500 researchers globally.
Background
Medelyan has a diverse professional background, including roles at various organizations. She worked as a Research Assistant at the University of Freiburg from 2000 to 2005. She was a Senior Software Engineer R&D at Pingar from 2009 to 2011 and served as the Chief Revenue Officer (CRO) at the same company from 2011 to 2013. Medelyan also gained experience as a Software Engineering Intern at Google and exorbyte GmbH. Her decade of research in natural language processing laid the groundwork for her later ventures.
Achievements
Alyona Medelyan's contributions to the field of natural language processing are significant. Her peer-reviewed articles have been cited by over 2,600 academics, reflecting her influence in the academic community. Medelyan's research led to the discovery that thematic analysis is an effective method for understanding unstructured customer feedback. This insight was instrumental in the development of Thematic's AI-engine, which analyzes survey responses and enhances customer experience.