Research Interest
My research focuses on the development of trustworthy machine learning methods for e-commerce and financial applications, including time-series analysis, data mining, semi-/un-supervised learning, large language models and related applications such as recommender systems and financial quantitative trading. In my work, I use statistical analysis and deep learning methods, with an emphasis on data analysis using methods least influenced by spurious signals.
My research experience has equipped me with an in-depth understanding of how artificial intelligence can be used to solve complex, data-centric problems. The idea of applying these methodologies to the financial field and contributing to quantitative area is profoundly motivating.