Xuesong Wang
Postdoctoral Fellow at CSIRO's Data61
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolXuesong Wang is a Postdoctoral Fellow at CSIRO's Data61 and an AI-for-Science researcher with nine years of experience applying probabilistic and deep learning methods to real-world problems. He earned a PhD in Computer Science and Engineering from UNSW after earlier training in control engineering and mechanical engineering, bridging rigorous theory with practical system design. His work has been recognized with an ICML 2025 oral presentation (top 1%), reflecting strong contributions to machine learning research. Xuesong combines academic teaching—tutoring undergraduate and graduate courses in data, analytics and deep learning—with hands-on engineering experience including anomaly detection at PayPal. He is skilled at translating complex models into interpretable, deployable solutions for science and industry, and often blends control-theoretic intuition with probabilistic ML techniques. Based in Sydney, he focuses on impactful, reproducible research that moves from novel algorithms to real data-driven decision support.
9 years of coding experience
Exchange, Mechanical Engineering, Exchange, Mechanical Engineering at RMIT UniversityMaster's degree, Control Science and Control Engineering, Master's degree, Control Science and Control Engineering at Tongji UniversityUNSW Sydney
Chinese, English
Github Skills (36)
multi-site-imaging10
shap9
shapley9
gradient-boosting9
decoding9
deep-learning8
few-shot-learning8
machine-learning8
meta-learning8
brain-imaging7
meta7
normalization7
imputation7
neuroimaging7
stochastic-processes7
Programming languages (2)
Github contributions (5)
xuesongwang/Neural-Process-Family
Jul 2020 - Sep 2024
Contributions:33 pushes, 1 branch in 4 years 3 months
xuesongwang/Prediction-of-the-Heat-Transfer-based-on-XGBoost
Jul 2019 - Oct 2019
Contributions:14 commits, 13 pushes, 1 branch in 3 months
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