Welcome | Freddie Bullard

I am a Part III Mathematics (Master's) student at the University of Cambridge, studying topics from applied mathematics and statistics. I have a bachelor's degree in physics from Durham University.

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I spent the summer as a research intern in the Machine Learning for Infection and Disease group at Helmholtz-Zentrum Dresden-Rossendorf (HZDR). HZDR is a constituent of the Helmholtz Association, Germany's largest research organisation. I researched the application of numerical and neural PDE solvers to information retrieval from three-dimensional microscopy. I am continuing this work remotely as a visiting researcher.

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My research interests are broad; I am keen to apply theory from mathematics, physics and machine learning to problems spanning disciplines. I am particularly interested in imaging, medical and biological applications.

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For more information on my background and some projects I have worked on, check out CV and Projects.

Stacked BVR image of the spiral galaxy M82 taken from Durham on 06/02/2020, each image had an exposure time of 30s. An ellipse is overlaid to demonstrate the type of aperture used to extract luminosity data, R is the semi-major axis. Click here to learn more.

A ring under diametral compression illuminated by white light. The polarisation of incident and outgoing light is changed by π / 10 radians between each frame, rotating the isoclinic fringes but keeping the isochromatics stationary. Click here to learn more.

Comparing three different noise reduction methods. Images are: unfiltered (a), Gaussian filter (b), median filter (c), bilateral filter (d). Click here to learn more.

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