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.
Lanlan Ji
Generative AI Scientist at Goldman Sachs
United States
Overview
Topics They Care About
Agentic AI Systems
Her current role at Goldman Sachs focuses on building and implementing agentic AI workflows, RAG systems, and the associated AI pipelines.
AI Safety
A core part of her responsibilities involves AI evaluation, benchmarking, and the creation of AI guardrails to ensure safe and reliable systems.
ML in Healthcare
Her past experience includes a role as Senior Data Scientist at CVS Health and graduate research focused on machine learning for cancer omics data.
Media Appearances
Lanlan has no verified media appearances
Work History
11-2023
Generative AI Scientist at Goldman Sachs
8-2022 - 11-2023
Senior Data Scientist at CVS Health
10-2016 - 5-2022
Graduate Researcher at Johns Hopkins Whiting School of Engineering
8-2017 - 1-2022
Teaching Assistant at Johns Hopkins Whiting School of Engineering
Education
2017 - 2022
Doctor of Philosophy - PhD from Johns Hopkins Whiting School of Engineering
2015 - 2017
Master's degree from Johns Hopkins Whiting School of Engineering
More Information
Social Presence :
Prographics :
Exp : 8
Location : United States
Job Level : N/A
Designation : Generative AI Scientist at Goldman Sachs
