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Melbourne School of Psychological Sciences

Memory and Language Lab

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Welcome to the Memory and Language Lab at the University of Melbourne.

Our research utilises large scale real world data, experimental paradigms and computational modelling techniques to investigate the cognitive architecture underlying memory and language. We simulate human performance looking for ways in which memory and language phenomena are manifestations of the same neural structures. We use probabilistic models, machine learning techniques, signal processing approaches and dynamic systems methods to analyse data and to uncover how the cognitive system works.

The MALL lab is at the vanguard of research using experience sampling technologies to study psychological processes. We use smartphone apps, social media and internet-of-things devices to capture a person’s experience and behaviour in their real world environment. We believe these technologies will revolutionise psychological research and practice, as we can now obtain very large longitudinal data sets with high ecological validity.

  • Using Smartphones and Wearables to Understand Bipolar Spectrum Disorder

    Could smartphone gps data be used to predict when a person is experiencing a manic or depressive episode?

    19 Sep 2019 News
  • Using StarCraft to Study Collective Reasoning on the SWARM Platform

    Professor Simon Dennis is leading the human research of the SWARM project that looks to improve intelligence assessments through crowd sourcing.

    13 Aug 2019 News
  • SENSORS AND BIG DATA ARE SHOWING HOW OUR MINDS WORK

    Big data and personal sensing technology are revolutionising psychology, opening new frontiers in our understanding of how our minds work and how we treat mental illness.By Andrew Trounson, University of MelbourneRead more ...

    03 Sep 2018 News
  • Meet the new Director and Deputy Director of the Complex Human Data Research Hub

    The School welcomes Professor Simon Dennis and Associate Professor Amy Perfors, as the inaugural Director and Deputy Director of our new Complex Human Data Research Hub.

    03 Sep 2018 News
  • Mobile Monitoring and Machine Learning Unlock the Mathematics of Memories

    Simon Dennis recently featured in a Computer World article, where he discussed the work of the Complex Human Data Hub. You can view the full article on the Computer World website.

    03 Sep 2018 News
  • Professor Simon Dennis

    Head of Lab /

    Director of the
    Complex Human Data Hub

    simon.dennis@unimelb.edu.au

    View Publications

    Blog

  • Dr Hyungwook Yim

    Postdoctoral Research Fellow

    hyungwook.yim@unimelb.edu.au

    View Publications

  • Dr Ben Stone

    Programmer

    Former PhD student

    View Publications

  • Kevin Shabahang

    PhD Student

    View Publications

  • Samia Gupta

    Honours Student

  • Malinga Perera

    Programmer

  • Michael Diamond

    Research Assistant

    michael.diamond@unimelb.edu.au

  • Joshua White

    Research Assistant

    Admin Assistant

    josh.white@unimelb.edu.au

  • Yang Changchun (Giselle)

    Research Intern


Alumni

  • Valerie Gao

    Research Intern

  • Adelaide McKenzie

    Honours Student (2019)

  • Elizabeth Laliberte

    Honours Student (2019)

  • Courtney Rose O'Brien

    Honours Student (2019)

  • Rachid Ghieh

    Honours Student (2018)

  • Bree Wan Rong Ong

    Honours Student (2018)

We welcome your interest in our team. If you want to know more or explore opportunities for study or collaboration, please get in touch. To enquire, contact simon.dennis@unimelb.edu.au

PhD

To find out more about opportunities to undertake a PhD in the in the MALL Lab, please contact:

Prof Simon Dennis

Email: simon.dennis@unimelb.edu.au

PhD Enquiries

Honours

If you are interested in undertaking your 4th year Honours project in the MALL Lab, you must be enrolled in the Honours program. A list of 2019 projects is provided below. To discuss potential projects, please contact:

Prof Simon Dennis

Email: simon.dennis@unimelb.edu.au

Honours Enquiries

RESEARCH PROJECTS 2019

-Using experience sampling to understand the relationship between affect at

encoding and episodic memory.

-Alibi-generation and Memory: Understanding Human Memory for Where Using

Experience Sampling Technology

-Individualised word frequency and recency in item recognition memory.

-Representation and control; uncovering the architecture of thought

RESEARCH PROJECTS 2020

TBA

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