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Personal profile

University Service

Joanna Dipnall is an applied statistician with particular interests in the areas of machine and deep learning techniques. She completed her Honours in Econometrics with Monash University and PhD with IMPACT SRC, School of Medicine, Deakin University where she blended machine learning with traditinal statistical technqiues to develop Risk Index for Depression (RID). Joanna works extensively with registry and linked medical data and collaborates extensively with the Faculty of IT at Monash to supervise Masters and PhD students to integrate AI within health reasearch. Joanna is also Co-Chair of the ARDC SeRP Research Users Community of Practice.

Joanna teaches within the Monash Biostatistics Unit and is the Unit Coordinator for the Monash Masters of Health Data Analytics course. This course integrates Monash units from SPHPM, IT and Business Economics. Joanna teaches the Introduction to Health Data Analytics unit which provides a foundation for the study of Health Data Analytics by introducing key health, statistical and machine learning concepts.

She has worked externally in the commercial world as an applied researcher and statistical consultant throughout her career and started a business who was one of the first in Australia to conduct research over the internet in 1999. Joanna has taught advanced statistical methods for many years at universities and privately with ACSPRI and NZSSN.

External positions

Honourary Postdoctoral Research Fellow, Barwon Health

2017 → …

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or