LLM Reasoning · Multi-Agent Systems · Multimodal LLMs
My research interests lie in LLM reasoning, multi-agent systems, and
multimodal LLMs, 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. -
Kaggle - CNN × Emotion Recognition
Facial emotion classification from grayscale images using a custom CNN trained from scratch on the FER2013 dataset. -
Quantitative Methods III
Moderation analysis at the intersection of energy and education.More coming up......