Evgeniia Razumovskaia

Evgeniia Razumovskaia is a highly educated individual with a diverse academic background and valuable industry experience.

Having pursued a Doctor of Philosophy (PhD) in Computation, Cognition, and Language from the prestigious University of Cambridge, she has a strong foundation in interdisciplinary studies.

Her Master's degree in Language Technologies with a specialization in Dialog Systems from Carnegie Mellon University further enhances her expertise in the field of language processing and technology.

Evgeniia Razumovskaia's Bachelor of Science (BSc) with Honours in Cognitive Science, where she achieved a remarkable 1st Class with Honours, further underscores her academic excellence.

With a comprehensive educational background, she brings a wealth of knowledge and skills to any project or team she is a part of.

In terms of professional experience, Evgeniia has held various positions in renowned organizations that have helped her hone her skills and gain practical insights.

She has previously worked as a Machine Learning Research Intern at Rasa, showcasing her involvement in cutting-edge research and application of machine learning techniques.

Additionally, her role as a Teaching Assistant and Graduate Research Assistant at Carnegie Mellon University highlights her dedication to academia and passion for sharing knowledge.

Her contributions as an Informatics Lab Demonstrator and Tutor at The University of Edinburgh demonstrate her commitment to education and supporting students in their learning journey.

Furthermore, her experience as a Student Research Assistant at The Johns Hopkins University and an IT Assistant at RC Club illustrate her versatility and adaptability in different work environments.

Evgeniia Razumovskaia's professional journey reflects a blend of academic rigor, research acumen, and a strong inclination towards leveraging technology to drive innovation and growth.