Published several influential papers covering a wide range of topics from fundamental theories to practical applications, such as preference amplification mechanisms in recommendation systems and analysis of privacy issues on social media platforms.
Research Experience
Involved in multiple leading-edge research projects such as LLaMA (an open and efficient foundational language model), Presto (a SQL query engine capable of handling various data sources), and BOTORCH (a framework for efficient Monte-Carlo Bayesian optimization).
Background
Focused on research in the field of artificial intelligence, including but not limited to generative AI, computer vision, and natural language processing.
Miscellany
In addition to professional work, shows a strong interest in building communities through research and innovation.