Summary
Yunrou Gong is a data engineer with nine years of experience building cloud-native data platforms for healthcare and life sciences, currently applying that expertise at MongoDB in New York. She has deep hands-on experience designing ETL/ELT pipelines, scalable databases, and secure PHI-aware architectures on AWS and GCP, having processed tens of terabytes of semi-structured clinical and oncology data. Her background blends machine learning product work—building a healthcare news recommendation engine—with research-grade NLP for extracting structured signals from physician notes and EMRs. Yunrou also brings scrum leadership experience, driving delivery and governance across multinational collaborations to make genomic and clinical data discoverable and actionable. Uncommonly, she couples strong data engineering chops with formal training in business analytics and a near-perfect MS in Data Science, enabling her to bridge technical, clinical, and stakeholder needs.
9 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Business Analytics: Operational Research and Risk Analysis, Merit, Master of Science (MSc), Business Analytics: Operational Research and Risk Analysis, Merit at University of Manchester - Manchester Business School
Bachelor of Science (BSc), Business finance, 2:1, Bachelor of Science (BSc), Business finance, 2:1 at University of Sussex
Master's degree, Data Science, GPA: 3.9/4.0, Master's degree, Data Science, GPA: 3.9/4.0 at University of Rochester
Economics, Economics at Zhejiang University of Science &Technology