People

All lab members are presented in alphabetical order.

Sacha ten Broeke, MSc Student

Currently pursuing a Master’s degree in Cognitive Neuroscience. In the lab, I am working on a comprehensive review article on the SSRI discontinuation syndrome. This endeavor not only encompasses summarizing the current state of knowledge but also delves into how prediction tools can be harnessed to assess the risk associated with this syndrome. My academic pursuits extend beyond this project, with a keen focus on neural prosthetics and clinical neuropsychology. These areas of interest reflect my dedication to advancing understanding and practical applications within the intersection of neuroscience and clinical practice. Sacha’s email

Sicheng Dai, PostDoc

I am interested in modeling and the analysis of brain networks in health and disease through the fusion of two fields: Network Science (e.g. network dynamics, multilayer networks), and Machine Learning (e.g. graph neural networks). Prior to this postdoc, I received my PhD in computer science from ENS Lyon, where I studied the dynamic patterns of human interaction within large-scale temporal (social) networks. Outside of research, I’m a passionate nature enthusiast and animal lover. Sicheng’s email

Alexander Frotscher, PhD Candidate

My research focuses on machine learning and unsupervised anomaly detection within neuroimaging data. I’m driven by the ambition to advance methodological approaches, with the ultimate aim of influencing clinical practices positively. Through the development of robust models, I seek to deepen our comprehension of biological variations and diseases. Beyond my scientific pursuits, I find joy in various sports activities. Alexanders’ email

Milin Kim, PhD Candidate

I am interested in the development of the cerebellum over the lifespan and its role in neurological and mental disorders. In my PhD, I am mapping the trajectory of the cerebellum using machine learning methods and brain imaging of large populations. Before starting my PhD at Oslo University Hospital, I studied psychology at Seoul National University and continued with cognitive neuroscience at University of Oslo. Outside the lab I spend my time exploring Norwegian forests and fjords, baking macarons, and reading. Milin’s email

Esten Leonardsen, PhD Candidate

My research interests are on the continuous development of deep learning techniques, especially applied to neuroimaging data. I want to employ these methods to learn more about variation occurring in our brains, both in healthy individuals and those affected by mental as well as neurological disorders. I am also interests in the philosophical intersection of deep learning and neuroscience, philosophy of mind, and about gaining a formal understanding of learning, intelligence, and other cognitive phenomena. Outside of the lab I have cofounded start-up companies and enjoy reading. Esten’s email

Marc Lemnitzer, BSc Student

Currently, I am pursuing a Bachelor’s degree in Bioinformatics while engaged in the development of a machine learning package targeting the mapping of the normative predictome. This undertaking entails meticulous validation against an array of diverse biomarker configurations. My interest lies at the intersection of machine learning and neuroscience. In the laboratory setting, I am eager to deepen my understanding of the intricacies involved in modeling processes related to the human brain. Given my dedication to study, academic and research pursuits, I allocate the majority of my time to these endeavors, leaving limited room for leisure activities. Marc’s email

Minh-Hieu Nguyen, PhD Candidate

I am interested in the development of computational models to understand the mechanisms behind learning and decision-making processes, and how those change in individuals with mental disorders. Previously, I studied chemistry at the National University of Singapore before starting my master in neural information processing at the University of Tübingen and recently started my PhD trajectory. Outside of the lab, I enjoy cooking, music and reading. Minh-Hieu’s email

Melis Oktayoglu, HiWi

Pursuing a Master’s degree in machine learning at the University of Tübingen, my focus lies in leveraging predictive models, particularly those centered around language, to delve into the intricacies of individual differences in schizophrenia and prognostic predictions in psychosis. Within my role as a HiWi, I contribute to a diverse array of tasks, including the handling of extensive datasets, cluster computing, and system maintenance. Moreover, I am actively immersing myself in the literature pertaining to machine learning applications in mental health mapping, with a specific emphasis on utilizing language-based feature sets. Melis’s email

Elias Schreiner, Data Scientist & IT-Infrastructure

I am a bioinformatics enthusiast working in IT infrastructure and science. I leverage the potential of deep learning to unlock insights from complex biological data. I belief that using this technology can enhance our understanding of the biological world, particularly in the context of improving the lives of those affected by neurodegenerative conditions and it’s often comorbid mental disorders. Elias’ email

Philipp Seidel, PostDoc

I am harnessing modelling techniques to discern variations in brain metrics, encompassing currently structural but eventually functional aspects, across diverse populations. I am particularly dedicated to unraveling the intricate dynamics of longitudinal changes within brain images, employing a diverse set of modeling methodologies. By delving into the nuanced alterations occurring over time, my research endeavors aim to illuminate critical insights into the progression of neurological and mental health conditions. Philipp’s email

Nitin Sharma, HiWi

I’m currently pursuing my master’s in Neural Information Processing, focusing on unraveling the mechanisms of mental disorders using machine learning. My past work involved analyzing EEG and MRI/fMRI data, employing deep learning for domain adaptation in multi-site datasets related to conditions like depression. In the lab, I’m delving into individual differences through Normative modeling and machine-learning methods. Beyond research, I cherish spending time with friends, hiking, and immersing myself in music. Nitin’s email

Thomas Wolfers, PI

In my research I develop machine learning methods to understand factors that contribute to (mental) health problems in individuals. I hold a PhD in neuroscience from the Radboud University and have been working as a Postdoc in Netherlands (Radboud University), researcher in Norway (University of Oslo), and visiting scholar in the United Kingdom (University of Oxford) before starting my research group in Tübingen (Germany). In the long run, I aim to implement technological developments into clinical practice working together with clinicians and researchers. Outside of the lab, I study yoga, meditation and enjoy reading but also like social activities and music. Thomas’s email & Homepage

Hao-Chun (Chad) Yang, PostDoc

As a PostDoc, I’m deeply engaged in the convergence of machine learning and healthcare. My expertise centers on crafting resilient ML techniques, spanning Large-scale Self-Supervised Learning, Adversarial Attacks/Privacy, and Continuous Learning methodologies. I specialize in leveraging Multi-Modality signals like ECG/EDA/EEG, MRI, and Speech Processing for developing robust ML models. Prior to my role at the MHM-Lab, I earned my PhD in Electrical Engineering from National Tsing Hua University, Taiwan, focusing on Affective Computing. Outside of research, I indulge in outdoor pursuits, culinary exploration, and globetrotting adventures. Chad’s email

Mariam Zabihi, PostDoc

With a Ph.D. in statistical neuroimaging from Radboud University Medical Center, my expertise centers on addressing psychiatric disorder heterogeneity through normative modeling. Currently, as a research fellow at UCL’s Department of Computer Science, I focus on advancing generative models for neuroimaging data analysis. Concurrently, in a part-time PostDoc role in Tübingen, I delve into deep normative modeling techniques to discern individual differences within neuroimaging datasets. This dual engagement allows me to contribute significantly to both methodological advancements and the broader understanding of neurological diversity in psychiatric research. Mariam’s email

Join Us

We are interested in welcoming new members to our team! You can check out if any positions are advertised or drop an email for internships, joint grant proposals or if you’d simply like to know more about the lab.
Join us

Alumni

Completed PostDoc/Data-Scientist

Completed PhD
Rikka Kjelkenes (2023) -> Continued with Postdoc @ University Oslo

Completed MSc/HiWi
Alexander Frotscher (2023) -> Continued with PhD @ University Tübingen with Thomas
Minh-Hieu Nguyen (2023) -> Continued with PhD @ University Tübingen with Thomas
Sarah Sobotta (2023) -> Continued with a PhD @ Max Planck Institute Leipzig
Mai Han Hoang (2022) -> Works in industry
Milin Kim (2021) -> Continued with PhD @ University Oslo with Thomas
Victória Trindade (2019) -> Continued with PhD @ University Medical Center Groningen
Christina Isakoglou (2017) -> Continued with PhD @ Radboud University Nijmegen
Maria Paraskevopoulou (2016) -> Continued with PhD @ Radboud University Nijmegen

Completed BSc/Honors
Sacha ten Broeke (2023) -> Continued with MSc @ Radboud University Nijmegen

Completed Labrotation
Mylla Marsiglia (2024) -> Continued with PhD @ Max Planck Institute Leipzig
Shun-chin Wu (Jim) (2023) -> Continued with MSc @ University College London
Can Demircan (2023) -> Continued with MSc @ University Tübingen
María Berjano (2022) -> Continued with Labrotation @ University Duisburg-Essen