Uno Fang

Lead the development and deployment of machine learning and computer vision models across diverse industry and research collaborations in healthcare, education, astronomy, and resources Design and implement end-to-end data science workflows, including data preprocessing, model development, evaluation, and deployment in cloud environments Apply and adapt advanced techniques such as contrastive learning, multi-view learning, and graph neural networks to address real-world challenges at scale

Data Scientist at Curtin Institute for Data Science (2023-01 – Present)

• Lead the development and deployment of machine learning and computer vision models across diverse industry and research collaborations in healthcare, education, astronomy, and resources
• Design and implement end-to-end data science workflows, including data preprocessing, model development, evaluation, and deployment in cloud environments
• Apply and adapt advanced techniques such as contrastive learning, multi-view learning, and graph neural networks to address real-world challenges at scale
• Collaborate with interdisciplinary stakeholders (researchers, domain experts, and industry partners) to translate technical outputs into impactful solutions
• Promote robust, maintainable code and reproducible research through best practices in software engineering, including containerisation and version control
• Contribute to strategic initiatives such as conference leadership, team mentoring, and cross-project knowledge sharing

Lecturer in Business Analytics at Kaplan Business School (2023-10 – Present)

• Instruct postgraduates in Introduction to Business Analytics, Social Media Analytics, and Data Security and Ethics, focusing on real-world applications and case studies
• Employ innovative teaching methods to boost engagement and demystify complex analytics concepts
• Lead workshops and practical sessions of BI tools, such as Microsoft Excel, Power BI and Tableau, to reinforce hands-on learning and critical thinking
• Provide mentorship, guiding students in both academic pursuits and career planning

Intern Data Scientist at Medigrowth Pty Ltd Australia (2022-05 – 2022-10)

• Designed and developed an organisational database using draw.io, Google Cloud SQL and MySQL, which advanced the project progress for at least 4 weeks
• Led the team to implement a questionnaire web application using React and JavaScript, researching the efficacy and safety of Medicinal Cannabis products
• Conducted data exploratory analysis of patient data on Medicinal Cannabis use and Autism patient data by Python, GCP, SQL, Excel and Tableau, analysing the needs and changes of populations who access Medicinal Cannabis products
• Improved more than 10% accuracy by implementing and fine-tuning machine learning models (e.g., Random Forest, CNN, etc.) to find patterns of patients and make predictions of prescriptions

Software Engineer at Deakin University (2018-01 – 2019-06)

• Designed and implemented an online health course web application using React.js, HTML, CSS, etc. (front-end and back-end), SQL, MongoDB and REDCap (database), serving more than 80 Victorian secondary schools and 1500 students
• Analysed Victorian secondary school student data by SQL and Python to produce data visualisations, which resulted in a long-term collaboration and observation study
• Documented backup technical instructions for both the technical and the non-technical, addressing the uncertainty of future use and maintenance

Doctor of Philosophy in Information Technology – Deakin University (2019-07 – 2022-12)

Bachelor of Information Technology in Honours – Deakin University (2016-03 – 2017-11)

Bachelor of Software Engineering – Southwest University (2013-09 – 2015-06)