Summary
Xinru Liu is a Data Scientist II with a PhD in Statistics and nine years of experience applying Bayesian modeling, sparse deep learning, and reinforcement learning to real-world problems. She has moved research into production at Microsoft Azure Core Insights after internships focused on anomaly detection and has a track record of improving model accuracy and efficiency in industry settings, including a 10% F1 uplift and 15% compute savings from LoRA and RLHF work at Liberty Mutual. Her work spans hierarchical NLP classifiers, sensor-fusion for quality control, and authorship attribution tools, reflecting a rare blend of theoretical rigor and practical engineering. Comfortable with both research and applied roles, she maintains reproducible pipelines and collaborative GitHub practices, making her well-suited for applied or research scientist positions. An understated strength is translating complex probabilistic methods into lightweight, production-ready solutions that cut cost without sacrificing performance.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics and Computer Science, Bachelor of Arts (B.A.), Mathematics and Computer Science at Wheaton College Massachusetts
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Boston University
English, Chinese