Who We Are
Walter Maetzler (MD)
Walter is trained as a neurologist and geriatrist, and holds a professorship in neurogeriatrics at the Medical Faculty of Kiel University. He is the head of the research group.
Milda Aleknonyte-Resch (PhD)
Milda is a data scientist who holds a PhD in natural sciences as well as a MSc in quantitative economics. She is especially interested in time-series analysis, machine learning and simulations.
Clint Hansen (PhD)
Clint is a sports scientist and deputy group leader. He is well acquainted with sensor systems and coordinates algorithm development.
Kirsten Emmert (PhD)
Kirsten is a neuroscientist by training and currently coordinates research for the IDEA-FAST project. Besides IDEA-FAST, she is involved in scientific writing including new grant applications.
Kirstin (Crispy) Hansen
Crispy is Walter’s personal assistant and as an all-rounder she is the good fairy of the whole team. She knows about (almost) everything that happens in the group.
Hanna Hildesheim (MD, Clinician Scientist)
Hanna is a resident in the neurology department and coordinates the implementation of study protocols and contact with study participants.
Corina Maetzler (MA)
Corina originally comes from the field of linguistics. Together with Kirsten, she currently coordinates the research for the IDEA-FAST project and also takes care of many technical issues around the devices used in our studies and databases with REDCap.
Christian Neumann (PhD fellow)
As a neuropsychologist and scientific doctoral student Christian is responsible for the organization and data evaluation of the COVIDOM study. His thematic focus is on fatigue and the exploration of biological markers. For the statistical evaluation he mostly applies regression analysis.
Theo Nerdal (MD)
Theo works as a resident and is involved in both patient care and science. His passion is eye movement disorders, which he studies in the research group in various disease patterns.
Robbin Romijnders (PhD fellow)
Robbin comes from biomedical engineering and he is writing his doctoral thesis in cooperation with the Kiel Faculty of Technology. His research focuses on the feasibility and acceptance of a patient-controlled electronic health record and on fall prediction.
Julius Welzel (PhD fellow)
Julius is also a neuropsychologist and scientific doctoral student as Hanna. He is an EEG and statistics specialist and interested in the integration of movement, algorithm development and validation, data management and interpretation.
Office hours: Wednesday 16:00-18:00 & Friday 8:30-9:30