Summary
Lauren Li is a Senior Data Scientist in New York with 7 years of experience applying ML and analytics to healthcare, finance, and public-sector problems. Trained at the University of Chicago (MS in Computational Analysis and Public Policy), she blends rigorous causal and policy-oriented thinking with practical ML skills in Python, R, SQL, and TensorFlow to drive operational impact. At Aetna/CVS and previously IBM and the Fed, she built production models and tooling—from LSTM document extraction that halved review time to weak-supervision prototypes that slashed labeling needs by ~90%. Her background in equity derivatives and transportation research gives her a rare mix of quantitative finance intuition and systems thinking for large-scale data pipelines. Colleagues describe her as outcome-focused: she prioritizes solutions that reduce manual work and integrate smoothly into business workflows.
7 years of coding experience
3 years of employment as a software developer
Master's degree Computational Analysis and Public Policy, Master's degree Computational Analysis and Public Policy at Harris School of Public Policy at the University of Chicago
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at University of Chicago
Diploma, Diploma at Northville High School