Hello! I'm Maddy and recently graduated from Nottingham University with an MSci in Physics!
I am interested in medical imaging, more specially neuroimaging and its applications to understanding diseases. I have undergone several research projects studying schizophrenia, epilepsy and multiple sclerosis in detail, but eager to learn more.
Anything outdoors I will probably enjoy! I love to travel and scuba dive (Advanced PADI); enjoy rock climbing, reading and life drawing. Eating, drinking wine and wild swimming is my ideal day.
Simultaneous magnetoencephalography and magnetomyography using an optically pumped magnetometer array (Jan 2017 - May 2017):Undergraduate Third Yr Project. Supervisor: Dr Matt Brookes A semester long project investigating the corticomuscular coherence using a brand new imaging technique; optically pumped magnetometer array (OPM). The project determined the experimental bandwidth of OPM which was previously unknown. It was my first experience of experimental design and taught me how to use several imaging techniques, including MEG and MRI.
Automating Cytometric Medical Techniques (Oct 2017 - Nov 2017),Undergraduate Computing Project. An image processing project, exploring computational methods for cell counting and analysis of myelination in rat brain neurones. This project was then linked to diagnosing multiple sclerosis.
Disorder in disorder? Understanding the neuropathological basis of schizophrenia (Sep 2017 - June 2018) Final Year Project. Supervisor: Dr Matt Brookes A year long project looking at the neural pathways in schizophrenic patients. Using magnetoencephalography (MEG) data, we are able to map out the disorder of the human brain. This project involves collecting our own data from healthy patients and comparing it to data from Schizophrenic individuals.
Cells and Systems Essay on X-Linked Agammaglobulinemia. Report
Programming: python and C Coin counting with a raspberry pi. Code and Report
Microscopy How microscopes could identify endometriosis Report
Image Analysis Using machine learning to identify mole types. Code and Poster