Yuxin Cui

Research Scientist at University of South Carolina

Seattle, Washington, United States
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Summary

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Senior
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Top School
Yuxin Cui is a research scientist in Seattle with 10 years of experience building scalable recommendation systems and applied machine learning solutions, currently focused on video and Reels recommendations at Facebook. He combines deep academic training (PhD in Computer Science) with hands-on software engineering across Python, JavaScript, Java and C++, and production ML stacks including TensorFlow/PyTorch, Spark/Hadoop, and SQL-based data pipelines. Yuxin has a strong computer vision and data-analysis background (OpenCV, Matlab, scikit-learn, pandas, NumPy) and practical experience teaching and mentoring university courses in algorithms, databases, and scientific programming. Known for bridging research and production, he repeatedly turns academic methods into deployable systems and also brings classroom-tested approaches to real-world engineering problems. An understated strength is his cross-domain fluency—from bioinformatics roots to large-scale recommender infrastructure—which helps him navigate both model development and systems engineering.
code10 years of coding experience
bookDoctor of Philosophy (Ph.D.), Computer Science, 4.0, Doctor of Philosophy (Ph.D.), Computer Science, 4.0 at University of South Carolina-Columbia
bookMaster of Engineering (MEng), Computer Science and Technology, 3.25, Master of Engineering (MEng), Computer Science and Technology, 3.25 at Harbin Institute of Technology
languagesEnglish, Chinese
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Stackoverflow

Stats
23reputation
101reached
0answers
1question
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Github Skills (22)

segmentation10
keras9
object-detection8
mask8
html6
mask-rcnn6
instance-segmentation6
tensorflow6
spring-boot6
spring-mvc6
mri5
faster-rcnn5
deep-learning5
connected5
volumes4

Programming languages (1)

Python

Github contributions (5)

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easycui/nuclei_segmentation

Mar 2018 - Jan 2019

Contributions:11 commits, 10 pushes, 2 branches in 9 months
Contributions:18 commits, 1 push in 1 year 5 months
pythondata-sciencedeep-learningmachine-learning-coursemachine-learning
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