Gregory Feldmann Email & Phone Number

Adelaide, SA, AU

Adelaide, South Australia, Australia

* Leading technical machine learning work.* Designing fast approximations to complex wireless communications simulations with GANs.

Adelaide, Australia

• Planning, supervising and implementing machine learning work for the DUST project.
• Engaging with university partners, stakeholders and software engineering team to deliver machine learning solutions.
• Summarizing and explaining complex technical and theoretical concepts developed through research and analysis.
• Developing novel ideas and forming them into academic papers.
• Line manager for applied scientists specialising in data science.

Adelaide, Australia

Mawson Lakes

• Classified images of endometrial tissue samples as either tumorous or not tumorous using deep learning in Keras.
• Used transfer learning based on ImageNet data due to the small number of samples.
• Explored how different hyperparameters (batch size, learning rate, regularisation, data augmentation) affected model training.
• Exploring the incorporation of mass spectrometry data into tumor classification and how color intensity affects classification accuracy.

Adelaide, South Australia, Australia

Adelaide, Australia

• Worked with stakeholders at Maxima Group to design a predictive software tool to estimate the employability of Maxima DES clients.
• Merged, cleaned and processed data from multiple sources.
• Trialed various machine learning models such as logistic regression, tree based methods and k-NN.
• Performed feature selection to isolate a subset of features that had approximately the same performance as the full set of features.
• Generated tables and data visualisations in Tableau and Excel.
• Created a semi-automated tool to generate monthly statistical reports.

Adelaide, Australia

• Collaborated with stakeholders from BHP and CSIRO to design a predictive maintenance machine learning model.
• Designed neural networks (feedforward and long short-term memory) in Python’s Keras package to predict remaining useful life of smelter fans.
• Created data visualisations using seaborn and matplotlib Python packages.

Adelaide, Australia

• one-on-one and group tutoring
• motivating students
• providing simple and easy-to-understand explanations
• guiding students through problems

Master Of Scientific Studies, Mathematics

Mixture of applied and pure mathematics coursework with a thesis.

Master Of Data Science, Data Science

Activities and Societies: Australian Indigenous Mentoring Experience

Bachelor Of Mathematical And Computer Sciences, Theoretical Physics And Mathematical Sciences

Activities and Societies: Adelaide University Judo club.