LLM Reasoning · Multi-Agent Systems · Retrieval-Augmented Language Models
My research interests lie in LLM reasoning, multi-agent systems, and
retrieval-augmented language models, with applications spanning
computational linguistics, behavioural finance, and energy economics.
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Dissertation — LLM × ESG × Investor Emotions
Psychologically informed LLM for understanding investor emotions in relation with energy stocks —— An interdisciplinary study. -
Quantitative Methods III
Moderation analysis at the intersection of energy and education. -
Quantitative Methods I
Estimating US recession risk with macroeconomic and microeconomic indicators using logistic regression.