Dimitris Alikaniotis


I am a Research Scientist at Grammarly working on Machine Learning and Natural Language Processing. My work focuses on representation learning, affective computing, and personalization. Most of my research draws from Computational Psychology, Natural Language Processing, and crowdsourcing to build scalable unsupervised solutions that perform structured prediction, personalization, semantic searches, sentiment analysis, and text classification.

Before that, I was a PhD student with a focus on Computational Psycholinguistics and Semantics at the Department of Theoretical and Applied Linguistics at the University of Cambridge, supervised by Dr John Williams.

My research employed methods from statistics and machine learning, in order to gain a better understanding of how we learn and process language. My primary interest was to identify, through computational modelling and behavioural experiments, the strategies that allow people to unconsciously pick up linguistic regularities from their environment.

My Erdős number is 5.


peer-reviewed publications: other: