cv

Principal Researcher

socius

socius is an AI research lab endorsed by the London School of Economics creating open-source models and data to empower social scientists. * Lead developer of sentibank, a large-scale open database consolidating 15 original and 43 processed sentiment dictionaries spanning diverse genres and domains. This resource empowered social scientists with tailored lexicons to conduct more insightful sentiment analysis. * Developed RedditHarbor, a toolkit enabling easy large-scale collection of Reddit data. Storing the data in Supabase made it conveniently accessible to researchers. This resource expanded social scientists' data sources for quantitative and qualitative analysis. * Architected Sentium, an interpretable rule-based sentiment analysis model with state-of-the-art performance on social science text. The model's explainability helps researchers derive impactful insights from sentiment analysis.

• NLP

Junior NLP Engineer

Numen Capital

Worked on the in-house Knowsis research team, leveraging NLP and machine learning for alternative data insights. * Developed NLP pipelines for alternative data insights, including ESG tweet classifier based on transformer architecture (97% accuracy), rule-based sentiment analyser, and domain-specific dictionary. *Analysed alternative data signals derived from NLP pipelines using time series models. This analysis led to accurate forecasts of market movements, directly assisting quantitative investment strategies.

• NLP

MSc

University of London

Data Science and Artificial Intelligence

• Big data analysis
• Data programming in Python
• Statistics and statistical mining
• Machine learning
• Data science research topics
• Mathematics of financial markets
• Artificial intelligence
• Natural language processing
• Neural networks
• Social media and network science

BSc

London School of Economics and Political Science

Politics and Economics

• Macroeconomic Principles
• Microeconomic Principles I
• Public Choice and Politics
• Research Design in Political Science
• Monetary Economics
• Applied Quantitative Methods for Political Science
• Algorithms and Programming
• Game Theory I
• Politics of Money and Finance in Comparative Perspective

sentibank: A Unified Resource of Sentiment Lexicons and Dictionaries

International AAAI Conference on Web and Social Media

Sentiment analysis is critical across computational social science domains, but faces challenges in interpretability. Rule-based methods relying on expert lexicons enable transparency, yet applying them is hindered by resource fragmentation and lack of validation. This paper introduces sentibank, a large-scale unified database consolidating 15 original sentiment dictionaries and 43 preprocessed dictionaries, spanning 7 genres and 6 domains.

RedditHarbor

Open-source Python toolkit designed to simplify the process of collecting and archiving Reddit data for research purposes

• Reddit Data Collection
• Research Data Toolkit
• Research Data Pipeline
• Reddit Data API
• Data Crawler