I studied Spatial Sciences in Germany and I worked as an on-site contractor for the US Army Europe (USAREUR) in Germany, and received a “Certificate of Excellence in honour of exceptional performance for outstanding support to Range Operations”.
After I gave birth to my first child, I decided to study Computer Science at a distance learning university where I could be flexible in allocating time to my studies and my family. I graduated with a Bachelor Science degree in Applied Computer Science and moved to Australia shortly afterwards. By the end of my second year I received an ACEMS "Certificate of outstanding achievement" as part of my PhD candidature in Applied Statistics with the focus on spatio-temporal Machine Learning approaches and prediction models.
My thesis was nominated for the QUT Outstanding Doctoral Thesis Award that acknowledges the need to encourage the promotion of excellence in higher degree research in Australia. In assessing my thesis, the reviewer stated that my work will make a significant contribution to the scientific knowledge base of Australia and beyond, has the potential for a wide range of applications in future research, and is highly important in the era of Big Data.
I am currently working as a Research Fellow at QUT where I apply Machine Learning techniques to real-world projects to find patterns in structured data.
Boosted Regression Tree (BRT)
Fractional Cover satellite imagery
Bachelor of Science (BS), Applied Computer Science
BSc of Honours, Cartography and Geomedia (Spatial Sciences)
MS Access / MySQL Database Developer
Invited talks, refereed proceedings and other conference outputs