People

Markus Ploner. I am a Professor of Human Pain Research at the Technical University of Munich (TUM), a consultant neurologist at the Department of Neurology of the TUM and head of the PainLabMunich. Before coming to Munich and founding the PainLabMunich, I studied Medicine in Cologne and Vienna, trained as a neurologist at the Heinrich-Heine-University Düsseldorf and stayed as a research fellow at the University of Oxford. Motivated and inspired by my clinical experience, I aim to alleviate suffering from pain. To this end, I strive to understand how the brain translates threat into pain and what goes wrong in this translation process when patients experience ongoing pain without appropriate threat. I feel privileged to be able to do this kind of research and to work in a wonderful team. 

markus.ploner@tum.de. ResearcherID/publons. Google ScholarORCID. ResearchGate.

Laura Tiemann. I am a member of the PainLabMunich since the very beginning. After graduating in Psychology at the Ruhr-Universität Bochum, I started as a PhD candidate here in Munich, continued my work as PostDoc, and am still far from getting bored! Currently, I am investigating the brain mechanisms underlying the enormous variability of pain - e.g. why we experience the same painful event differently at different moments in time. I particularly enjoy EEG data analysis, making the results of our research accessible for others through posters, talks and figures, as well as interacting and laughing with the participants of our studies. Besides research, I am currently completing my training as behavioral therapist and perform neuropsychological evaluations.

 laura.tiemann@tum.de. ORCID.

Elisabeth S. May. I have been working as a PostDoc in the PainLabMunich since 2013. I studied psychology in Oldenburg and Düsseldorf and particularly enjoyed one year of studying abroad in Melbourne. I first got into the field of pain research and brain oscillations during my PhD at the University of Düsseldorf and am very happy to be able to continue and deepen this work here in Munich. My recent projects investigate the modulation of pain using transcranial alternating current stimulation (tACS) and apply advanced EEG data analyses to resting-state data of chronic pain patients. I especially enjoy analyzing data and discussing analyses and results with the team. With the goal to combine pain research and clinical work, I am additionally taking part in a training program as a behavioral psychotherapist.

elisabethsusanne.may@tum.de. ORCID.

Moritz M. Nickel. I have joined the PainLabMunich in 2013 as a PhD candidate. My interest for pain research developed during my diploma thesis in psychology at the Friedrich Schiller University Jena, which addressed effects of attention on single-trial laser-evoked potentials. After finishing my PhD, I have continued working in the PainLabMunich as a PostDoc. I am still intrigued by the great impact of expectation on pain perception and currently studying the cortical interplay between pain-related sensory information and expectation. As pain emerges from activations of an extended network of brain areas, I am particularly interested in connectivity and brain network analysis using EEG.

moritz.nickel@tum.de. ORCID.

Henrik Heitmann. I joined the PainLabMunich in 2010 for my doctoral thesis, where I investigated the influence of Dopamine on pain perception and processing. In 2014, I graduated in Medicine at TUM and started my clinical training in Neurology and Pain Medicine as well as my post-doctoral training at PainLabMunich. Working as a Clinician Scientist I am particularly interested in the mechansims of the development, the affective comorbidities and the multimodal therapy of chronic pain, especially in the context of chronic inflammatory CNS disease.

henrik.heitmann@tum.de

Son Ta Dinh. I joined the PainLabMunich in October 2015 as a bit of an exotic PhD candidate, considering my background in electrical engineering and information technology. But retrospectively, I could not have found a better lab for my PhD, in large part due to the great working atmosphere and extensive supervision. I investigated the role of neural oscillations and synchrony in chronic pain using many different analysis methods. These ranged from spectral decomposition, over network analyses using graph theory, to several machine learning algorithms such as support vector machines, and deep convolutional neural networks. In 2019, having finished my PhD I have started working in the startup Ciara, but feel honored to continue my relationship with the PainLabMunich as a partner and advisor.

son.ta.dinh@tum.de

Vanessa Hohn. I have joined the PainLabMunich in 2017 for my master's thesis and have continued working here as a PhD student since 2018. During my master studies in Cognitive Neuropsychology at the Free University Amsterdam I discovered my great interest in pain research. Paired with my expertise in the analysis of EEG data, this quickly led me to the conclusion that the PainLabMunich was the place to go! As part of my PhD project, I am now specializing on neuromodulation techniques such as transcranial alternating current stimulation (tACS) and neurofeedback and the question how we can use these to alleviate experimental and eventually chronic pain.

vanessa.hohn@tum.de. ORCID.

Cristina Gil Ávila. I am a Master Student of Neuroengineering at the Technical University of Munich. Before coming to Munich in 2017 I graduated from Biomedical Engineering at the Technical University of Madrid. I am currently completing my Master thesis at PainLabMunich studying the dynamics of brain activity in chronic pain. After it, I will happily continue in the lab as a PhD student with the aim of finding a biomarker of chronic pain. 

cristina.gil@tum.de

Christopher Keßler. I am a medical student completing the clinical part of my studies at the Technische Universität München. I have been working in our team as a research assistant since January 2019. I am involved in studies using transcranial alternating current stimulation (tACS) and EEG. 

christopher.kessler@tum.de