My strengths as an accounting researcher lie in my ability to bridge theoretical frameworks with real-world empirical settings. I focus primarily on market structure, with a particular emphasis on the role of investors in information dissemination. Through my research projects, I have developed a solid grasp of the theoretical literature and gained extensive institutional knowledge by exploring various settings, including equity markets, social networks, and futures markets.
In addition to my expertise in market structure, I am proficient in natural language processing (NLP) and large language models (LLMs)—skills I acquired during my Master’s in Information Management and Systems at UC Berkeley. By incorporating advanced technologies from computer science and AI literature into accounting research, I aim to make impactful and innovative contributions to the field.
In addition to my expertise in market structure, I am proficient in natural language processing (NLP) and large language models (LLMs)—skills I acquired during my Master’s in Information Management and Systems at UC Berkeley. By incorporating advanced technologies from computer science and AI literature into accounting research, I aim to make impactful and innovative contributions to the field.