About Me

I am a final-year PhD candidate at the Artificial Intelligence Applications Institute (AIAI), School of Informatics, University of Edinburgh, advised by Prof. Tiejun Ma. I previously completed an MRes at the Institute for Language, Cognition and Computation (ILCC), University of Edinburgh, advised by Prof. Shay Cohen.

My research has two closely connected strands. The first develops post-training and adaptation methods for reliable LLM agents. I study how language models can learn from feedback, improve through self-play, use memory, retrieve relevant evidence, and act robustly in long-horizon settings. Representative work includes controllable LLM behaviour through SEKA, temporal and agentic memory through RoMem, and robust retrieval/ranking through TSPRank.

The second strand applies these methods to FinAI, where reliability, distribution shift and long-horizon evaluation are central. My work studies LLM-based investment agents, trader risk ranking, synthetic transaction generation, financial backtesting and look-ahead-bias mitigation. This includes financial AI systems such as FINSABER, FinCAD, PA-RiskRanker, and SynthRank.

Across these two strands, my ultimate goal is to make algorithmic advances that matter, and deploy them reliably in high-stakes real-world decision-making.

I have multiple first-author papers at leading venues, including ICLR, KDD, TOIS, AAAI and EACL. I also collaborate on broader agentic AI research, including world modelling and vision-language-action systems, with researchers across academia and industry. I also have interned at Tencent Lightspeed Studio UK, Huawei Technologies Research & Development (UK) Ltd, 2012 Laboratories, and The Alan Turing Institute, and have contributed to teaching machine learning and natural language processing courses at the University of Edinburgh.

I will be on the 2027 job market and am currently looking for full-time Research Scientist or Applied Scientist roles starting in 2027, as well as research internship opportunities before then.