PYTHON CHARMERS - Key Persons
Juan Nunez-Iglesias is co-author of the book Elegant SciPy, published by O'Reilly Media. Juan is a core developer of the scikit-image Python library, and has contributed to many others in the scientific Python ecosystem, including SciPy, NetworkX, and Matplotlib. He has taught and presented at the SciPy conference in Austin, EuroSciPy, PyCon Australia, the Advanced Scientific Programming in Python summer school, and Software Carpentry workshops. He is currently a research scientist at the University of Melbourne, where he uses image analysis and computer vision to study brain connectivity, malaria parasites, and other biological questions. Juan has Bachelor's degree in Biomedical Science from the University of Melbourne and both an MSc in Statistics and PhD in Computational Biology and Bioinformatics from the University of Southern California.
Ed has consulted to or trained dozens of organisations in data analytics using Python, including: A*STAR, Barclays, the Bureau of Meteorology, Cisco, CSIRO, Dolby, GDF Energie, Geoscience Australia, IMC, Optus, Toyota Technical Centre, and Woolworths. Ed is the co-chair of the Python for Data Science miniconf for PyCon AU, co-organises the Python user group in Melbourne, and regularly presents at conferences related to Python and data analytics in Australia and internationally. He is a former release manager of SciPy and the author of the widely used future package. Ed holds a PhD in computer science from Imperial College London, where his thesis was in machine learning. He also holds BA and MA (Hons) degrees in mathematics and computer science from Cambridge University. He has 20+ years of experience in programming, teaching, and public speaking.
Errol's background is in computational neuroscience. He has been using Python for modelling neurological systems, digital signal processing, data analysis, and empirical research for 7 years.
Henry has 15 years experience in GIS, spatial analysis and application development, particularly in the natural resource management field. Henry's core technical expertise relates to the development and analysis of large scale spatial datasets (primarily using Python), and communicating this understanding to people including subject matter experts and the general public. Henry has worked in government at federal and state levels, at Geoscience Australia (GA), the Victorian Government Department of Sustainability and Environment (DSE), and the Environmental Protection Agency (EPA). He has also worked in the private sector as Senior Spatial Consultant with Sinclair Knight Merz (SKM) and we-do-IT. He holds a Bachelors in Computational Science.
Our trainers are experts in Python, and are gifted communicators. We strive to teach using plain English, minimising the use of technical jargon and explaining terms when necessary. This has allowed us to teach Python to participants across a wide range of industries, professional backgrounds and age range.
Job Titles:
- Consultant
- Data Analyst
- Trainer
Robert is a data analyst who provides analysis, consultancy, research and development work to businesses primarily using Python. Robert has worked with government, financial and security sectors, in both a consultancy and academic role. He is also a Research Fellow at the Internet Commerce Security Laboratory, Federation University Australia, investigating cybercrime analytics and data-mining algorithms for attribution and profiling. Robert is a regular contributor to the Python-based scikit-learn open source project for machine learning and writes regularly on data mining for a number of outlets. He has presented regularly at a number of international conferences in Python, data analysis, and its applications.