Berlin, Berlin, Germany
I am a passionate and driven researcher with a PhD in optical rheometry and image processing for gel point detection. I have experience in the development of novel techniques for biomarker detection. My work has included optimisation of microneedle fabrication techniques for continuous glucose monitoring devices, development of innovative optical instrument and algorithm with the ultimate aim of application to blood, and determination of a persons susceptibility to a thromboembolic event, as well as development of novel rheometrical techniques for sickle cell disease detection. Common to all these projects has been my ability to analyse large data sets for optimisation and biomarker detection. Recently I have focused on incorporating machine learning techniques into biomarker detection. Outside of this work in nanotechnology, rheology and data engineering, I am an avid science communicator, having participated in numerous science festivals, SciCom competitions and tutoring roles; I am extremely enthusiastic about communicating high level scientific concepts to audiences without a background in STEM. I strongly believe diverse disciplines understanding and working together leads to innovative and revolutionary results.