Congratulations to Dr Sayani Gupta!

😄 Sayani was awarded her doctorate for her thesis research titled ‘Visualization and analysis of probability distributions of large temporal data’

Monash Master of Business Analytics

Strap on an explorer’s backback and a skeptics hat and learn how to analyse data.

Find out more

The real numbats could use your help

If you would like to help with numbat conservation take a look at Project Numbat. You can buy numbat souvenirs or make donations to help with numbat conservation.

Go to Project Numbat

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Non-Uniform Monash Business Analytics Team

Meet the Team

Current

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Klaus Ackermann

Lecturer in Statistics

economics, machine learning, big, big data, computational statistics

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George Athanasopoulos

Professor of Statistics and Deputy Head of Department

forecasting, time series, tourism modelling

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Fan Cheng

PhD (Statistics)

exploratory data analysis, forecasting, statistical computing

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Di Cook

Professor of Statistics

statistical graphics, exploratory data analysis, multivariate statistics, data mining

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Catherine Forbes

Associate Professor

bayesian time series analysis, financial econometrics

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David Frazier

Associate Professor and ARC DECRA Fellow

simulation-based inference, Bayesian computation

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Swen Kuh

Postdoctoral Researcher

Social science, Hierarchical modelling, Bayesian inference

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Sayani Gupta

PhD (Statistics)

computational statistics, visualization, time series analysis, forecasting

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Rob J Hyndman

Professor of Statistics and Head of Department

forecasting, time series, exploratory data analysis

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Lauren Kennedy

Lecturer in Statistics

non-representative data, multilevel modelling, causal inference, Bayesian inference

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Jessica Leung

Lecturer in Business Analytics

optimisation, operations research, management science, visualisation, machine learning, network science, data analytics

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Patrick Li

PhD (Statistics)

machine learning, computer vision, data visualisation

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Michael Lydeamore

Lecturer in Statistics

computational statistics, infectious diseases modelling and epidemiology, data science

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Gael Martin

Professor of Econometrics

bayesian inference, computational statistics, probabilistic forecasting, financial econometrics, time series analysis, long memory time series, count time series

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Harriet Mason

PhD (Statistics)

statistical computing, data visualisation, data storytelling, visual explanations

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Ruben Loaiza Maya

Lecturer in Econometrics

econometrics, bayesian statistics

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Patricia Menendez

Lecturer in Statistics

statistics, applied statistics, mathematical modeling

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Didier Nibbering

Lecturer in Econometrics

high-dimensional inference, forecasting, bayesian statistics

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Mitch O'Hara-Wild

Research Assistant

statistical computing, time series, forecasting, software design

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Dan Simpson

Professor of Analytics Engagement

spatial statistics, bayesian methods, computational statistics

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Nicholas Spyrison

PhD (Information Technology)

high dimensional visualisation, human computer interaction, data science

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Emi Tanaka

Lecturer in Statistics

applied statistics, mixed models, experimental design, statistical computing

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Ryan Thompson

PhD (Statistics)

high-dimensional statistics, forecasting, mathematical optimisation

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Luis Torres

Postdoctoral Researcher (Statistics)

scientific computing, probabilistic programming, data science, machine learning, astrostatistics

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Sherry Zhang

PhD (Statistics)

computational statistics, statistical graphics, temporal data analysis, machine learning

Alumni

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Mahdi Abolghasemi

Post Doctoral Researcher (Data Science)

forecasting, optimisation, machine learning, business analytics

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Puwasala Gamakumara

Post Doctoral Researcher (Statistics)

time series, forecasting, data science, applied statistics

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Sevvandi Kandanaarachchi

Lecturer in Statistics

anomaly detection, mathematical statistics

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Stephanie Kobakian

Data scientist

statistical graphics, data analytics, information visualisation

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Ursula Laa

Lecturer (Statistics)

statistical graphics, high-dimensional data, machine learning, (particle) physics

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Stuart Lee

Postdoctoral Researcher (Statistics)

statistical graphics, exploratory data analysis, high-dimensional statistics, computation and design

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Pablo Montero Manso

Post Doctoral Researcher (Statistics)

time series, forecasting, machine learning, computational statistics

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Anastasios Panagiotelis

Associate Professor

forecasting, dependence modelling, bayesian methods, energy markets, macroeconomics

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Cameron Roach

PhD (Statistics)

data science, machine learning, time series analysis, forecasting

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Priyanga Dilini Talagala

Lecturer in Statistics

time series, forecasting, anomaly detection, applied statistics

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Thiyanga Talagala

Lecturer in Statistics

time series, forecasting, data visualisation, applied statistics

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Nick Tierney

Research Software Engineer

exploratory data analysis, statistical modelling, bayesian statistics, software design

Nathaniel Tomasetti

Data Scientist

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Earo Wang

Lecturer in Statistics

time series, data visualisation, software design, data science

About NUMBATs

NUMBATs is the name for our research group, Non-Uniform Monash Business Analytics Team. We meet regularly to openly exchange and discuss research ideas and activity in an actively supportive and creative environment. People outside the group are welcome to attend, and can sign up to receive notifications about topics for each meeting, or check the calendar on the web site.
Our mission is to advance methodology for making data analysis easier. We develop new techniques for statistical modeling and visualisation, and work hard to make these available to the general public by distributing open source software, mostly using R.
It is also our goal to raise awareness of Australian fauna and flora, particularly many of the beautiful endangered species. For example, in reality, numbats are insectivores, mostly found in Western Australia, and we encourage you to contribute to the conservation efforts by donating or purchasing products from Project Numbat.

Recent Posts

How long do maps on ggplot facets take?

If you’re a ggplot user, making faceted plots must be a tool in your belt. If you happen to do some spatial analysis, you would be …
H. Sherry Zhang
Last updated on Jun 1, 2022 9 min read data visualisation, teaching, spatial data

Hexmaps with sugarbag make it easier to see the electoral map

Australia is a land of wide open spaces where the population concentrates in small areas. It can make for misleading map visualisations …
Last updated on May 22, 2022 4 min read data visualisation, statistics, teaching, spatial data

Do you need some analytics help? Maybe our internship program is for you!

Do you have a data analysis task and want some help with it? We have a lot of Masters students who might be able assist.
Last updated on Feb 18, 2022 3 min read data visualisation, statistics, machine learning, teaching

Trying to Save My Housements (Specifically Tom) from Alcohol Poisoning with Regularisation

The drinking game that killed Tom Back when I lived with my sister I barely managed to drink once a month, and health wise, I was …
Last updated on Dec 19, 2021 16 min read data visualisation, statistics, teaching, machine learning

A Future Public Disturbance Explains LDA

Bad Restaurants and LDA are Ruining my Life I would like to say that I’m the type of person who would never complain at a restaurant, …
Last updated on Aug 17, 2021 16 min read data visualisation, statistics, teaching, machine learning
See all posts

Projects

Get in touch with the NUMBAT faculty members for projects not listed here.

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tidyverts

R packages for tidy time series analysis

Upcoming Events

We hold regular seminars during the semester period (March-June, August-Nov). And there are numerous other events organised or related to NUMBAT.

You can add the events to your calendar via iCal or Google calendar.

Contact

  • Monash University, Clayton Campus, Wellington Rd, Melbourne, 3800
  • Enter Menzies Building, go to Level 7, east corridor.
  • @numbats_rise_up