Congratulations to Dr Ursula Laa!

🎓 Taking a new lecturer position at the University of Natural Resources and Life Sciences, Vienna Austria

Congratulations to Steff Kobakian!

🎓 Master of Philosophy

Welcome! To our new lecturers!

😄 Lauren Kennedy and Ruben Loaiza Maya.

Monash Master of Business Analytics

New programme starting in 2020

Find out more

Microcredential

Monash University is partnering with Future Learn to offer a new microcredential in Data-Driven Decision Making

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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Mahdi Abolghasemi

Post Doctoral Researcher (Data Science)

forecasting, optimisation, machine learning, business analytics

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Klaus Ackermann

Lecturer in Statistics

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

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Fan Cheng

PhD (Statistics)

exploratory data analysis, forecasting, statistical computing

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Di Cook

Professor of Business Analytics

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

Senior Research Fellow and ARC DECRA Fellow

simulation-based inference, Bayesian computation

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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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Stephanie Kobakian

MPhil (Statistics)

statistical graphics, data analytics, information visualisation

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Ursula Laa

Post Doctoral Researcher (Statistics)

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

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Stuart Lee

PhD (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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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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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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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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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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Nick Tierney

Lecturer in Statistics

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

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Sherry Zhang

PhD (Statistics)

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

Visitors

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Emily Dodwell (Feb '20)

Principal Inventive Scientist, AT&T Labs Research

interactive visualisation, fairness and bias in machine learning

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Donald A. S. Fraser (Feb-Apr '20)

Emeritus Professor, University of Toronto

mathematical statistics, foundations of statistics

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Nancy Reid (Feb-Apr '20)

Professor, University of Toronto

theoretical statistics, statistical inference, data visualisation

Alumni

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Puwasala Gamakumara

Data Science Intern

time series, forecasting, data science, applied statistics

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Sevvandi Kandanaarachchi

Lecturer in Statistics

anomaly detection, mathematical statistics

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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

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

Baby Teeth are Temporary, Model Interpretability is Forever

Focus Too Much On the Big Picture, Get $10k In Dental Bills When I found out baby teeth fall out, I realised the futility brushing …
Last updated on Oct 20, 2020 9 min read data visualisation, statistics, teaching, machine learning

How a 5th Grader Makes $1500 in a Single Night (and How They Could Make More Using MLE)

Is The Problem The Parents or the Kid? As a child, your parents are seen as deities that can do no wrong, that is until you are doing a …
Last updated on Oct 20, 2020 11 min read data visualisation, statistics, teaching

Criminal Statistics in Baby Murder Court Cases

My Experience with the Legal System I have had my fair share of run-ins with the legal system. Probably more than someone my age should …
Last updated on Sep 14, 2020 10 min read data visualisation, statistics, machine learning, teaching

4 Things We Can Learn About Conspiracy Theories and Model Flexibility

A Conspiracy Theory is Like a Bad Model A few years ago my mum became very susceptible to suggestion, and made friends with a guy who …
Last updated on Aug 11, 2020 8 min read data visualisation, statistics, machine learning, teaching

Mario Party: Destroyer of Friendships and Explainer of Convolutional Neural Networks

This is The Blog of a Mario Party Master In pre-COVID times, my friends and I would gather around for a fun activity called “lets ruin …
Last updated on Aug 11, 2020 10 min read data visualisation, statistics, machine learning, teaching
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