Linlin Chen is a senior software engineer with nine years of experience bridging academic research and production engineering, currently leading conversion modeling and measurement for Chrome Privacy Sandbox at Google. She brings deep expertise in machine learning, NLP, computer vision, and distributed systems, grounded in a Ph.D. candidacy from Illinois Institute of Technology and research experience dating back to USTC. Linlin has a track record of turning privacy-sensitive ML research into practical measurement systems, informed by internships at Twitter, Matterport, and JD Digits. Colleagues describe her as analytical, self-motivated, and communicative, able to navigate both algorithm design and large-scale implementation. An under-the-radar strength is her consistent role as a technical lead on privacy-preserving measurement during the post-cookie transition, which combines rigorous research instincts with production-grade engineering.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at University of Science and Technology of China
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Illinois Institute of Technology
Satellite/Aerial Image Retrieval: using Bing maps tile system to automatically download aerial imagery (maximum resolution available) given a latitude, longitude bounding box.
Contributions:1 review, 3 commits, 1 PR in 2 years 7 months
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