Mihee Lee
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMihee Lee is an Applied Scientist based in Seattle with eight years of experience bridging academic research and industry-scale ML systems. With a PhD from Rutgers focused on multi-modal and representation learning, few-shot and meta-learning, she brings deep expertise in Bayesian and personalized deep learning applied to computer vision problems. At Amazon she translates cutting-edge research into production-ready solutions, building on earlier roles at Samsung AI Centre Cambridge where she disentangled modality-specific factors and developed meta-learning approaches for facial action unit detection. Her background also includes data engineering and big-data ML pipeline development at Samsung SDS, giving her a practical fluency across the stack from HDFS/Spark to model design. Known for blending rigorous theory with hands-on systemization, she often targets personalization and low-data learning scenarios that generalize across users and modalities.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Ewha Womans UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University
Github Skills (2)
tizen10
portal10
Github contributions (3)
mijin80lee/tizen-docs
Sep 2017 - Jul 2018
Contributions:5 pushes, 1 branch in 9 months
tizenpublishedportal-siteportal
mijin80lee/hello-world
Aug 2020 - Aug 2020
Contributions:4 PRs, 4 pushes, 5 branches in 1 day
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