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.

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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.

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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.

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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

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.

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Thilo van Eimeren, MD

My scientific curiosity is directed at structural and molecular determinants of brain function in health and disease. I am particularly invested in applying and combining molecular and functional imaging methods to understand mechanisms of pathology in neurodegenerative diseases, such as Parkinsonian Disorders and Alzheimer’s disease. I am also highly engaged in the translation of research in my field from basic to clinical science and the deployment of more advanced clinical standards of neuroimaging. For example, I coordinate national and international groups for the harmonization of imaging standards and organize a symposium on translational molecular imaging in neurodegeneration (MINC symposium).

As a leader of this group, I am dedicated to empowering young scientists to find their vocation and to achieve their full professional potential. 

Professional links: LinkedIn

Professional experience:

PeriodInstitutionFocus / Role  
Since 2015University Clinic CologneProfessor of Multimodal Brain Imaging
Since 2015University Clinic CologneConsultant Neurologist
2012Board Certification Neurology (“Facharzt”)
2010-2015University of KielProfessor of Functional Brain Imaging
2007-2010University of TorontoPostdoctoral Researcher
2007-2010University Klinik HamburgPostdoctoral Researcher

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