Ying Zhang
PHD Candidate
Sydney, New South Wales, Australia
Summary
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SeniorYing Zhang is a PhD candidate at the University of Technology Sydney with a decade of experience focused on health condition monitoring using deep learning and statistical methods. Based in Sydney, she blends rigorous research with practical analytic skills to develop models that detect and track health signals from complex data. Her work sits at the intersection of machine learning, biostatistics, and signal processing, emphasizing robust, interpretable approaches for real-world clinical applications. Over ten years in the field suggest she pairs research depth with applied experience, likely collaborating across academia and healthcare domains. She brings a methodical, data-driven mindset and an interest in translating novel algorithms into tools that can improve patient monitoring and outcomes.
10 years of coding experience
Github Skills (2)
benchmark9
nearest-neighbor-search7
Github contributions (3)
DBAIWangGroup/nns_benchmark
May 2016 - Oct 2016
Contributions:179 commits, 2 PRs, 175 pushes in 4 months
high-dimensional-datanearest-neighbornearestdimensionalneighbor-search
DBG-QCIS/NNS
May 2016 - May 2016
Contributions:3 pushes, 1 branch in 1 day
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