Dr. Emily Allaway

Assistant Professor

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Biography

Emily Allaway is a Chancellor's Fellow at the University of Edinburgh, specializing in AI and Data Science. She is associated with the School of Informatics and is actively involved in research focused on Natural Language and Speech Processing, contributing to advancements in understanding language and cognition. Her work at the university is centered on integrating computational methods with linguistic theory, thereby bridging the gap between technology and human communication. Emily has published various articles exploring the intricate relationships between language and computation, highlighting the importance of interdisciplinary approaches in modern research. She is dedicated to fostering innovation within AI, aiming to enhance the interaction between humans and machines through refined linguistic models and data-driven methodologies. Her academic career reflects a commitment to expanding knowledge in the fields of language technology and cognitive science, aiming to create more intuitive systems that cater to human linguistic patterns.

Research Interests

Experience

Chancellor's Fellow

— Present

University of Edinburgh • Edinburgh, UK

Conducting research in AI and data science within the School of Informatics.

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing