Siqi Liang
Applied Scientist II at Amazon
West Lafayette, Indiana, United States
Summary
👤
Senior🎓
Top SchoolSiqi Liang is an Applied Scientist II at Amazon with 11 years of experience bridging rigorous statistical theory and practical machine learning in production. A PhD candidate in Statistics at Purdue with a strong MS in joint Statistics and Computer Science, she has hands-on expertise in stochastic neural networks, graphical models, GANs, NLP, and sufficient dimension reduction. Her roles span Amazon applied research, university research and teaching, and industry data science—building end-to-end ML pipelines for real-world forecasting and powering production ML features. Known for meticulous mentorship and organizational leadership (TA coordinator, treasurer) she pairs academic rigor (3.95/4.00) with product-focused execution. Her GitHub bio hints at enduring curiosity and a disciplined creative spirit that informs both research and engineering.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Statistics, 3.87/4 (3/55), Bachelor of Science - BS, Statistics, 3.87/4 (3/55) at Nankai UniversityMaster of Science - MS, JOINT STATISTICS AND COMPUTER SCIENCE, 3.95/4.00, Master of Science - MS, JOINT STATISTICS AND COMPUTER SCIENCE, 3.95/4.00 at Purdue University
Github Skills (62)
visualization10
ios10
canvas10
charts10
windows10
cross-platform10
browser10
apache10
charting10
echarts10
desktop10
material-design10
svg10
android10
mobile10
Programming languages (4)
Github contributions (5)
sqliang/swan-docs
Feb 2020 - Mar 2020
智能小程序官方文档
Contributions:14 pushes, 1 branch in 11 days
sqliang/js-data-struct-algorithm
Jul 2018 - Aug 2020
Contributions:2 pushes, 1 branch in 2 years 1 month
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