Aliai Eusebi

Aliai Eusebi is Data Analyst at Trilateral Research.

She is co-developing STRIAD solutions to enable strategic and tactical risk identification and assessment for data-driven decision making. She is currently working on the INNOVATE UK-funded STRIAD-based project CESIUM which leverages machine learning techniques to better prevent and combat child exploitation. During her internship programme at Trilateral Research, she has developed a text classification algorithm using Natural Language Processing (NLP) models to automatically identify sexual content in multiple linguistic domains in a racially and LGBT neutral manner.

She is passionate about building machine learning technologies and cloud solution architectures to enhance societal wellbeing, while still reflecting on privacy and civil liberties concerns.

Research Background

Aliai holds a BSc. in Security and Crime (Engineering Sciences) from the Jill Dando Institute of Security and Crime Science at University College London. Her thesis was based on applying statistical programming techniques to explore empirical anomalies in the routes of development investments to transition economies. She has recently attended research programmes in International Security and Data Science at Cambridge University and Fudan University respectively.

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