I am a final year Ph.D. student in Computer Science at Cambridge, conducting research in the CambridgeNLP group under the guidance of Professor Andreas Vlachos. My research focuses on Natural Language Processing and Large Language Models, particularly their capabilities for Fact-Checking, Plausibility, and Forecasting. My research has been published at top-tier international conferences, and I have served as an organising committee member, programme committee member, and reviewer for multiple leading conferences and workshops. My research has been generously supported by the ERC, Trinity Hall, Girton College, and the I2R. I have also had the privilege of contributing to NLP projects during internships at AWS, A*STAR, EdinburghNLP, and the CAS.

• [05/2025] The final stage of my PhD journey has begun! It's been an incredible journey so far — more to come soon!

• [05/2025] Over 2,000 3,000 downloads have been reached for the models and datasets on Hugging Face 🤗! Thanks for all the support!

My research investigates how AI models, especially LLMs can reason reliably about the world by focusing on two core challenges:

• Fact-based Reasoning: Developing methods for retrieving, verifying, and reasoning over accurate information. This includes automated fact-checking deductive reasoning, temporal planning, and other logic-based approaches to ensure outputs are consistent with established facts and events from the past and present.

• Forecasting: Building models that can anticipate plausible future events, adapt predictions as new information emerges, and quantify uncertainty in evolving real-world contexts. Forecasting goes beyond what is currently known, making it essential for planning, decision-making, and the development of superintelligent systems capable of navigating complex, dynamic environments.

I am deeply interested in innovation and entrepreneurship. I had the honour of participating in the entrepreneurship program at Cambridge Judge Business School, where I engaged with the process of translating AI research into real-world impact. I would be pleased to discuss ideas, opportunities, or broader topics in entrepreneurship — please feel free to get in touch. 

Ph.D., M.Phil., Distinction, Computer Science, University of Cambridge, 2025

B.Sc., 1st, Computer Science, University of Edinburgh, 2020