Lanlan Ji

Lanlan Ji is an Applied AI Scientist at Goldman Sachs specializing in generative AI. With a PhD from Johns Hopkins, her expertise includes agentic AI workflows, RAG systems, and AI evaluation. Her background combines finance with healthcare, having previously worked as a Senior Data Scientist at CVS Health and researched machine learning for high-dimensional data.

She has a deep-rooted interest in the academic side of machine learning, having served as a Teaching Assistant for multiple courses at Johns Hopkins, including Machine Learning and Statistical Analysis, and led several workshops.

Unique Fact: During her PhD, she developed novel machine learning algorithms specifically for anomaly detection in cancer omics data.