Causal heterogeneity modelling for personalised decision making

This is a joint event with the Statistical Society of Australia (SSA) Canberra Branch. The talk will be of 45m presentation plus 15m Q&A.

TOPIC: From supervised machine learning to causal heterogeneity modelling for personalised decision making
SPEAKER: Prof. Jiuyong Li, University of South Australia
DATE/TIME: 6-7pm Canberra time (5:30-6:30pm Adelaide time), Tuesday 27 July
VENUE: Online via Zoom

• Meetup: https://www.meetup.com/CanberraDataSci/events/278966307/
• SSA: https://statsoc.org.au/event-4379456?CalendarViewType=1&SelectedDate=7/21/2021

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ZOOM LINK: After RSVP on Meetup, you also need to register for the ZOOM meeting under "Online event" in a right side panel on the event page. After that, you will receive a confirmation email containing information about how to join the meeting. The talk will commence at 6pm AEST. If you have any questions regarding the ZOOM meeting, please feel free to contact ssacanberra@gmail.com.

DINNER (at your own expense): At 7:30pm after the talk, there will be dinner at Bistro Nguyen, 1/80 Alinga Street, Canberra (on the corner of Northbourne Ave) https://bistronguyens.com.au/. If you wish to attend this dinner, please RSVP by 5pm Monday 26 July:

1. Enter your details here: https://docs.google.com/spreadsheets/d/1tQgomRy2VN7q-VD6oKVey2W-APzqRcs7qFB_o6JtqN4/edit?usp=sharing
2. Reply to Warrenn (warren.muller@csiro.au) to confirm
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ABSTRACT: Causal heterogeneity modelling emerges as an effective approach for personalised decision making and is used in personalised marketing and personalised medicine. In this talk, I differentiate causal heterogeneity modelling from supervised machine learning and show some research and applications we have done in using causal heterogeneity modelling for decision making. I will give some common practice recommendations for using causal heterogeneity modelling methods.

BIOGRAPHY: Jiuyong Li is a professor at the University of South Australia. His main research interests are in data mining, applied machine learning and bioinformatics. His research work has been supported by 7 prestigious Australian Research Council Discovery projects, and he has led a number of industry and applied projects of multiple millions of dollars. He has published more than 180 research papers, most of which are in the top tier publication venues in the area. He has been an area chair (or senior PC member) in many leading international conferences in artificial intelligence and data mining, and he is a member of the Australian Computer Society National Committee for Artificial Intelligence.
Homepage: https://people.unisa.edu.au/Jiuyong.Li