Welcome to our new post-doc, Swen Kuh!

😄

Monash Master of Business Analytics

New programme starting in 2020

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Microcredential

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

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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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Swen Kuh

Postdoctoral Researcher

Social science, Hierarchical modelling, Bayesian inference

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Puwasala Gamakumara

Post Doctoral Researcher (Statistics)

time series, forecasting, data science, applied statistics

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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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Stuart Lee

Postdoctoral Researcher (Statistics)

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

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Patrick Li

PhD (Statistics)

machine learning, computer vision, data visualisation

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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

Research Assistant

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

Visitors

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Bahman Rostami-Tabar (Feb '21)

Associate Professor of Management Science

forecasting, forecasting for social good

Alumni

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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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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

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

Using PCA to Bully My Housemates (Specifically Tom)

Surrounded by Incompetence I recently moved into a share house with three of my friends, and while we generally get along pretty well, …
Last updated on Apr 20, 2021 13 min read data visualisation, statistics, machine learning, teaching

Can our Masters students help 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. Masters of …
Last updated on Mar 5, 2021 2 min read data visualisation, statistics, machine learning, teaching

Learning Boosting Through Me Getting Fired from Tutoring

My Employment History I’ve had about… 13 jobs at this point in my life. Among them were jobs like tutoring, nannying, swim teaching, …
Last updated on Feb 4, 2021 9 min read data visualisation, statistics, teaching, machine learning

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
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