Data science at Melbourne
As technology has advanced, there has been an explosion in the amount of data available worldwide. Trillions of bytes are now captured daily from mobile devices, web logs, sensors, and instruments.
Nearly every industry needs to gain insight from these data, but they can be too large to manipulate with traditional databases and statistical tools, and are typically heterogeneous, often messy, incomplete and unstructured. Data science combines aspects of statistics, computer science, and mathematics in order to organise, analyse, and extract knowledge from data sets. The field is transforming the way industries and government operate, from matching products to consumer needs to enabling improved health outcomes.
Data science at the University of Melbourne is rooted in a strong foundation of the mathematical and statistical aspects of data collection, modelling, and analysis. Our researchers work on developing cutting-edge methodology and putting those developments into practice.
Latest news
Academic staff
Prof Howard BONDELL
Dr Ian GALLAGHER
Dr Mingming GONG
Dr Masanari KIMURA
Information Geometry, Machine Learning, Statistics
Dr Patricia MENENDEZ
A/Prof Abd-Krim (Karim) SEGHOUANE
A/Prof Matthew TAM
Dr Weichang YU
Graduate researchers
Zaran Munahi S ALSAADI
David CEDDIA
Ziye CHEN
Shuyuan CHEN
Yu-hsi CHEN
Tongze DONG
Tomas DOS REIS-FLOOD
Jingyi GUO
Dongting HU
Wenqin LIU
Ziheng LIU
Dong LUO
Ruofei LYU
Evelyn MANNIX
Archer MOORE
Peiwen MU
Luke QUINN
William RUDD
Farhana Ahmed SIMI
Yiming TAN
Liam TIMMS
Yuanyuan WANG
Wenjie WANG
Xueyi WANG
Suyi WANG
Leman WU
Wenliang XIANG
Fuwen XIAO
Yiming XIE
Wenjing YANG
ZIANG ZHANG
Shaoting ZHANG
Haoyang ZHANG
Qi ZONG
Aoqi ZUO
Statistics seminars
You can find an archive of selected past seminars on the University events calendar.