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.
[04/2025] Our models and datasets on Hugging Face 🤗 have now surpassed 2,000 total downloads! Thank you for your support.
[02/2025] I completed my internship at AWS AI, with a paper submitted to ACL. I am now back at Cambridge to finish my PhD.
My research investigates how AI models, especially LLMs can reason reliably about the world by focusing on two core challenges:
Factuality: Developing methods to retrieve, verify, and reason over evidence, ensuring that model outputs are grounded in accurate, verifiable information about 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. I believe the ability to predict future developments is a critical step toward building systems with superintelligent capabilities.
These two directions are closely connected, aiming to advance LLMs' ability to support better decision making across domains such as science, technology, and society.
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