Women in Data Science (WiDS) Perth

Event details


  • Auditorium, University Club of Western Australia
  • Map location

Date and time

  • Wednesday, 6 March 2019
    5pm - 7.30pm

Event type

  • Faculty of Engineering and Mathematical Sciences


  • Business / Industry
  • Current students
  • Future students
  • Graduates or near graduates
  • Postgraduate
  • Studying at another tertiary institution


  • Event registration is essential via the link below
Register here

The University of Western Australia is excited to collaborate with Stanford University to bring Women in Data Science (WiDS) Perth to WA.

The 2019 WiDS Perth event marks the beginning of this initiative, delivered in association with Stanford University's annual Global Women in Data Science (WiDS) Conference. WiDS Perth will feature an expert panel with leading WA-based data science experts, sharing their different perspectives on what it takes to build a successful career in data science, followed by Q&A and networking.

We are proud to be hosting one of 150+ worldwide events and look forward to inspiring more women to engage in data science.

WiDS Perth Panellists
Rachel Cardell-Oliver
Rachel Cardell-Oliver
Associate Professor Rachel Cardell-Oliver is a computer scientist specialising in the design of intelligent systems, which integrate data measurement using environmental sensors; data collection with wireless communication systems; and data mining. Rachel's work addresses environmental challenges including public transport use, reducing household water consumption, understanding water use by native Australian plants, and measuring the performance of rammed earth for sustainable housing in outback Australia.

Eun-Jung Holden
Professor Eun-Jung Holden is an expert on geodata analytics, specifically in the application of image analysis, pattern recognition and visualisation in geoscience. Her work focuses on machine-assisted interpretation of geodata, working closely with industry geoscientists from exploration, resource evaluation and mining, who are the end users of her research. She is a highly sought after research partner by the mining industry, and currently manages a $3.6 million Data Fusion project with Rio Tinto.
Inge Koch
Inge Koch
Professor Inge Koch is a statistician who works with medical researchers on challenges in cancer research and proteomics and signal processing of fMRI images. Her specialties are statistical learning and data science involving new statistical methods and theory for high-dimensional data and images. As head of Statistics and Data Science and in her previous work at other universities, Inge has been passionate about encouraging young women to study and take up careers in mathematics. Until February 2019, Inge has been the Executive Director of the Australian Mathematical Sciences Institute and its CHOOSEMATHS program which aims to increase participation of women in mathematics and STEM through a multilevel approach including mentoring.
Wei Liu
Wei Liu 
Dr Wei Liu specialises in knowledge discovery from natural language text, deep learning methods for knowledge graph construction and analysis, as well as sequential data mining and forecasting. She works with experts in geoscience, medicine, transport and engineering on knowledge graph refinement for geological survey reports, incident log analysis and visualisation, short-term traffic predication and cognitive computing for asset management. 
Prathyusha Sangam
Praty Sangam is a data scientist at Wesfarmers Chemicals, Energy and Fertilisers, having recently graduated from UWA with her Master of Data Science. Her expertise includes machine learning, data science and analytics as well as Java-based programming across Telecom, banking and eCommerce domains, web application development, and UI/UX design and testing.

Global Women in Data Science (WiDS) Conference 2019

Stanford’s 2019 Global Women in Data Science (WiDS) Conference takes place in March at Stanford University and 150+ locations worldwide, including Perth. The Conference provides an opportunity to hear about the latest data science related research and applications in a broad set of domains. All genders are invited to participate in the conference, which features outstanding women doing outstanding work.

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