Xueping Peng
Lecturer at University of Technology Sydney
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolXueping Peng is a Lecturer and data scientist based in Sydney with 10 years of hands-on experience applying machine learning to healthcare, NLP, smart-home systems and policy-relevant cohort discovery. Holding dual PhDs in Machine Learning and Computer Science, she combines deep research expertise in unsupervised learning, metric learning and deep neural networks with practical skills in big-data engineering (Hadoop/Spark) and model deployment. At UTS she bridges research and application—leading ARC-linked projects with health departments to translate clustering, topic modelling and predictive models into policy and clinical insights. Her background includes industrial roles in customer analytics and anomaly detection, giving her a strong track record of turning complex data into actionable business and clinical decisions. Notably, she personalises time-series forecasting for smart-home devices by integrating batch and online learning, reflecting a pragmatic focus on user-adaptive systems.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at University of Technology, SydneyDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Beijing Institute of Technology
English, Chinese
Stackoverflow
26reputation
2kreached
1answer
0questions
Github Skills (1)
py2neo6
Programming languages (1)
Github contributions (5)
Xueping/iml_cohort
Nov 2017 - Nov 2017
Contributions:50 commits, 49 pushes, 1 branch in 26 days
Xueping/Xueping.github.io
Mar 2017 - Jul 2018
Contributions:128 pushes, 1 branch in 1 year 4 months
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