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Daisy Li
Data & Software
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Daisy Li

Software Developer


MPhil; BInfoTech(CSc)

Skills:

UX/UI Design | Software/Web Applications | Data fusion | Geospatial | Workflows (R Studio, Python, NextFlow, Galaxy) | Data capture and management (i.e. REDCap, Xnat, SERP, KeyPoint) | Time Series | Decision Trees | Classification | Bayesian Machine Learning | Machine learning

Daisy joined QCIF as software developer and focused on developing software and applications.

She obtained her Master of Philosophy degree in the School of Computer Science at Queensland University of Technology (QUT). Her research was focused on applying different machine learning and spectral indices in satellite imagery for 2022 eastern Australian floods. Throughout her studies, Daisy has been an active member of the Centre of Data Science (CDS) at QUT, and published a Q1 journal, and gave oral and poster presentations at four national and international conferences. Prior to her MPhil degree, she finished Bachelor of Information Technology in Computer Science at QUT and has been admitted to the Dean's List of Students with Excellent Academic Performance.

Daisy is interested in developing software and applications for multi-transdisciplinary projects. She is passionate about programming, especially in Python, Dart/Flutter, as well as data visualisation, machine learning, dataset obtaining, modelling and analysis, environmental spectral /spatial modelling, Geographic information system (GIS) and statistical analysis.

In her spare time, Daisy likes swimming and reading books.

Research Interests
Contributions
Projects Portfolio
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Turning Point & National Ambulance Surveillance System (NASS)

Supporting Turning Point with Database Migration and Pipeline Development

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The National Cycling Data and Analysis Platform (NCDAP)

Transforming Transport Planning to Boost Cycling and Build Healthier, More Sustainable Cities

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DNA to Decisions

Automation of DNA Analysis for Australian Biosecurity

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