Dr Amir Dehsarvi

Biography

My research focuses on the application of machine learning/deep learning for the analysis of biomedical data for disease diagnosis/target identification and validation (Parkinson’s disease, Alzheimer’s disease, autism, depression, rheumatoid arthritis, etc.), using diverse types of large, complex, biomedical datasets (e.g., brain imaging, movement, and speech), in which I lead the development of novel end-to-end analyses. I am currently working at the LMU University Hospital in Germany as a postdoctoral researcher. In my current position, I mainly work on developing cutting-edge preprocessing and processing techniques for different image modalities. Prior to this, I received my BSc in applied science electronics in Iran, and I completed a MSc in digital signal processing, followed by a PhD in electronic engineering at the University of York, UK. Subsequently, I have been working within various research positions at the University of York (England), the University of Aberdeen (Scotland), and at Trinity College Dublin (Ireland), in addition to working in various diverse biomedical companies (Spain, England, and the USA). In my spare time, I am an avid film enthusiast and I collect music, I play the Setar (a traditional Iranian instrument), and I enjoy hiking and cycling in the nature.