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Magdalena Banwinkler, Msc

Magdalena Banwinkler studied Psychology at the University of Vienna and obtained her Master’s degree in Biological Psychology in 2020. She joined the MMNI Group as a PhD candidate in March 2021 and is now performing her PhD training as part of the Collaborative Research Center “SFB 1451: Key mechanisms of motor control in health and disease”. The main objective of Magdalena Banwinkler’s research work is the investigation of structural and functional mechanisms that underlie Parkinson’s disease. To address her research aims she is using behavioral measurements as well as non-invasive neuroimaging methods, such as functional Magnetic Resonance Imaging (fMRI). With her work, she strives to gain a deeper understanding of the neural basis of motor control.

CV as PDF

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Julia Lothmann, MSc

Julia Lothmann completed her master’s thesis on the predictability of regional amyloid burden for the progression to preclinical and clinical Alzheimer’s disease in 2020 at the MMNI group. She has recently joined the group and will investigate molecular and functional mechanisms underlying Alzheimer’s disease, such as tau and amyloid accumulation in the brain. Her research interests further extend into the domain of cognitive reserve as well as the effects of lifestyle factors in regard to the development of neuropathology in Alzheimer’s disease.

CV as PDF

LinkedIn profile

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Verena Dzialas, MSc

I am interested in resilience mechanisms (the body’s own coping mechanisms to counteract disease-related alterations) in Parkinson’s disease. In this context, I am also exploring the utility of dopamine transporter imaging as a suitable monitoring biomarker of disease progression.

CV as PDF

Ask me about:

– python coding problems, including implementation of new MRI or non-MRI tasks (if you have problems with MATLAB I will help you, but you need to bring chocolate because I hate it)

– statistics, I love to discuss statistics, most preferably linear mixed models

– graph theory

– theoretical machine learning for practical implementation please ask Elena Doering

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Philipp Schlüter, BSc

Philipp Schlüter is a research fellow at the INM-2 at the Research Center Jülich and a researcher in the Multimodal Imaging Group.
He investigates the molecular mechanism in Alzheimer’s disease, such as production and transport of tau in the brain, using numerical models.
His research interest is in machine learning and AI methodologies.

CV as PDF

 

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Elena Doering, Dr. nat. med.

Elena Doering completed her master’s thesis on the effects of step-synchronized rhythmic vibrotactile cueing on freezing of gait in Parkinson’s disease in 2019. She has recently joined the MMNI group as a PhD candidate, where she will investigate molecular and neuronal mechanisms underlying neurodegeneration in Alzheimer’s disease, such as for example tau and amyloid accumulation in the brain. For her research, she draws on methods from the domains of machine learning and artificial intelligence.

See me on linkedin.
See me on Researchgate.

Ask me about: Coding in Python and R, machine learning/AI

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Michelle Meier, cand. med.

My research focuses on improving imaging-derived diagnosis of Parkinsonian Syndromes via artificial intelligence. Therefore, I explore tools of automatizing the image analysis process by implementing various methods in the field of machine learning and deep learning.

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Contact:

Michelle Meier
MD student