Hamid Langi

Hamid Langi is a researcher with extensive experience in artificial intelligence and financial data analysis. At Brunel University of London, from August 2024 to January 2025, Hamid served as a Graduate Research Assistant, focusing on the impact of financial news on stock market movements while developing deep learning models, including LSTM, for predicting S&P 500 fluctuations. Prior to this, Hamid worked as a Research Assistant, where advanced AI techniques were applied for sentiment analysis and market trend prediction. Currently, as an Intern at OakNorth in the AI Centre of Excellence since April 2025, Hamid has been involved in developing AI models for marketing automation and implementing intelligent automation tools. Additionally, from December 2021 to August 2023, Hamid contributed to managing the development of origami-based soft robots at the New Technologies Research Centre, utilizing machine learning to enhance the flexibility of these robots.