Sybil Shi, Ph.D Email & Phone Number

Leveraging data to solve problems is in my DNA. I started my academic training in the field of econometrics, drawn to using empirical statistical methods to study how people make decisions in their daily lives and the effects of incentives. I then pursued a Master’s degree in Computer & Information Technology to understand the fundamentals of various AI/ML techniques and use them effectively and responsibly.I am currently working as a VP at JPMorgan Chase. I have experience in designing, developing, implementing, and validating statistical models as well as AI/ML models for the bank’s risk management. I am familiar with various machine learning techniques, including linear regression/classification, decision trees/random forests/XGBoost, and deep learning neural networks. I support the use of field experiments as a tool and am also familiar with causal inference using observational data.Recently, I have developed a deep interest in Large Language Models (LLMs). I have been experimenting with LLMs and building LLM-based applications to explore how they can solve real business problems and improve efficiency.I believe technology should make people’s lives better, and I’m excited to be part of this journey.