Lab Members
Our lab provides a space to learn and to grow as a brain scientist! We welcome people from different academic backgrounds (e.g., psychology, neuroscience, computer science, data science, mathematics/statistics, physics, biology, economics etc.). We believe that psychology will benefit a great deal from being more interdisciplinary.
Our lab provides a space to learn and to grow as a brain scientist! We welcome people from different academic backgrounds (e.g., psychology, neuroscience, computer science, data science, mathematics/statistics, physics, biology, economics etc.). We believe that psychology will benefit a great deal from being more interdisciplinary.
The current lab members are familiar with tools in data science (R, Python, Matlab, shell), signal processing, statistical modeling and/or neuroimaging. They have picked up and trained each other these tools while studying humans' brain and behaviours. We have had people from New Zealand, Russia, Iran, Thailand, China, and Malaysia!
The current lab members are familiar with tools in data science (R, Python, Matlab, shell), signal processing, statistical modeling and/or neuroimaging. They have picked up and trained each other these tools while studying humans' brain and behaviours. We have had people from New Zealand, Russia, Iran, Thailand, China, and Malaysia!
PhD student: Alina Tetereva, MS
PhD student: Alina Tetereva, MS
Alina has a strong background in neuroimaging with several papers published in this area. Alina is now working on predictive models for individual differences in multimodal MRI.
Alina has a strong background in neuroimaging with several papers published in this area. Alina is now working on predictive models for individual differences in multimodal MRI.
PhD Student: Yue Wang, MS
PhD Student: Yue Wang, MS
Yue is a statistician with Master's and Honours degrees in statistics. Yue has been a go-to person for statistical modelling. Co-supervised by A/Prof Matthew Parry in Stats and A/Prof Jeremiah Deng in Information Science, Yue is now working on predictive inference for neuroimaging big data with R.
Yue is a statistician with Master's and Honours degrees in statistics. Yue has been a go-to person for statistical modelling. Co-supervised by A/Prof Matthew Parry in Stats and A/Prof Jeremiah Deng in Information Science, Yue is now working on predictive inference for neuroimaging big data with R.
PhD Student: Irina Buianova, MS
PhD Student: Irina Buianova, MS
Irina has a strong background in biology and diffusion imaging. Co-supevised by A/Prof Jeremiah Deng in Information Science, Irina is now working on big data in cognition, mental health and brain.
Irina has a strong background in biology and diffusion imaging. Co-supevised by A/Prof Jeremiah Deng in Information Science, Irina is now working on big data in cognition, mental health and brain.
PhD Student: Farzane Lal Khakpoor, MS
PhD Student: Farzane Lal Khakpoor, MS
Farzane is interested in computational modelling in psychology. Co-supervised by Prof Neil McNaughton, Farzane is working on creating neuroimaging analysis pipelines in Python.
Farzane is interested in computational modelling in psychology. Co-supervised by Prof Neil McNaughton, Farzane is working on creating neuroimaging analysis pipelines in Python.
Research Assistant Superhero:
William van der Vliet
Research Assistant Superhero:
William van der Vliet
William is a Unix guru and has done tremendous work, running jobs over the national-wide cluster: New Zealand eScience Infrastructure (NeSI). He is also completing a year-long project on applying 3D-Convolutional Neural Network on fMRI data, cosupervised by Lech Szymanski in computer science.
William is a Unix guru and has done tremendous work, running jobs over the national-wide cluster: New Zealand eScience Infrastructure (NeSI). He is also completing a year-long project on applying 3D-Convolutional Neural Network on fMRI data, cosupervised by Lech Szymanski in computer science.
Remote Research Assistant: Rhys Hobbs, MS
Remote Research Assistant: Rhys Hobbs, MS
Rhys is a physicist with a Master's degree in physics. Rhys has been a go-to person for signal processing and has been building a Python toolbox for decoding EEG signals. Rhys is now working remotely from Wellington where he is working as a Medical Physics trainee.
Rhys is a physicist with a Master's degree in physics. Rhys has been a go-to person for signal processing and has been building a Python toolbox for decoding EEG signals. Rhys is now working remotely from Wellington where he is working as a Medical Physics trainee.
Lab Alumni
Bryn Gibson
Bryn Gibson
Bryn was our programmer, having skills in Python, Git, Bash, C#, JavaScript among others. He helped us build a pipeline to communicate with New Zealand eScience Infrastructure (NeSI)
Bryn was our programmer, having skills in Python, Git, Bash, C#, JavaScript among others. He helped us build a pipeline to communicate with New Zealand eScience Infrastructure (NeSI)
Calvin Young, PhD
Calvin Young, PhD
Calvin was our research fellow, jointly working with Neil McNaughton. Calvin is interested in Brain-behaviour interactions in health and disease, neurophysiology, optogenetics, EEG, signal processing/data analysis, mood disorders, Parkinson's disease and neurocognition.
Calvin was our research fellow, jointly working with Neil McNaughton. Calvin is interested in Brain-behaviour interactions in health and disease, neurophysiology, optogenetics, EEG, signal processing/data analysis, mood disorders, Parkinson's disease and neurocognition.
Vicky He
Vicky He
Vicky was our summer student in 2021-22, funded by the Otago Medical Research Foundation -Wilkinson summer scholarship. During the summer, Vicky worked on classifying MDD from MRI data using machine learning. Vicky is currently a PhD student at University of Melbourne.
Vicky was our summer student in 2021-22, funded by the Otago Medical Research Foundation -Wilkinson summer scholarship. During the summer, Vicky worked on classifying MDD from MRI data using machine learning. Vicky is currently a PhD student at University of Melbourne.
Ellie Logan
Ellie Logan
Ellie was an Honours student in neuroscience. Ellie worked on alterations in reinforcement-related EEG signals in depression.
Ellie was an Honours student in neuroscience. Ellie worked on alterations in reinforcement-related EEG signals in depression.
Wei Xiang Tan
Wei Xiang Tan
Wei Xiang was an Honours student in psychology. Wei Xiang worked on genetics X environments that might explain cognitive abilities using big data.
Wei Xiang was an Honours student in psychology. Wei Xiang worked on genetics X environments that might explain cognitive abilities using big data.
Emma Duffy
Emma Duffy
Emma was a Master's student in psychology. Emma worked closely with Calvin on rodents' electrophysiology model of depression.
Emma was a Master's student in psychology. Emma worked closely with Calvin on rodents' electrophysiology model of depression.
Jean Li, MS
Jean Li, MS
Jean was a PhD student in information science. She has helped us with machine learning related pipelines in the lab.
Jean was a PhD student in information science. She has helped us with machine learning related pipelines in the lab.
Danielle Rutter
Danielle Rutter
Danielle was a psychology 310 student who is working with Alina on structural MRI and depression.
Danielle was a psychology 310 student who is working with Alina on structural MRI and depression.
Hannah Burlison
Hannah Burlison
Hannah was an undergraduate student. Hannah worked on well-beings in NZ during the Covid-19 lockdown.
Hannah was an undergraduate student. Hannah worked on well-beings in NZ during the Covid-19 lockdown.
Meghan Goodman
Meghan Goodman
Meghan was an undergrad student who continued the work started by Hannah on well beings in NZ during the Covid-19 lockdown.
Meghan was an undergrad student who continued the work started by Hannah on well beings in NZ during the Covid-19 lockdown.
Issac Jamieson
Issac Jamieson
Issac was a clinical psychology student in the lab, working on predictive models of Covid related behaviours using machine learning and big data.
Issac was a clinical psychology student in the lab, working on predictive models of Covid related behaviours using machine learning and big data.
Mary-Joy Williams
Mary-Joy Williams
Marry-Joy was a psychology honours student who worked on the predictive modelling of the psychopathology factor.
Marry-Joy was a psychology honours student who worked on the predictive modelling of the psychopathology factor.