Mark Bishop

I am an astrophysicist and space scientist. My research interests are varied but primarily relate to turbulence in astrophysical plasmas (like the intracluster and interstellar media), as well as turbulence in the solar wind.

More specifically, I am interested in how observations influence and modify the statistics and thus bias our understanding of physical characteristics. This makes my work generalizable to many different fields of research - of which I am eager to explore. So, if any of what I work on interests you, feel free to reach out!

Projects

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Technical Skills

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Signal and Image Processing

Spectral analysis, spectral density estimation (Fourier and real-space methods), spherical harmonics, spatial and time-series data analysis in noisy/data-limited regimes.

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Bayesian Analysis

Bayesian inferencing, Markov Chain Monte Carlo (MCMC) and Nested Sampling for parameter estimation and model selection.

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Modelling & Simulations

Magnetohydrodynamic turbulence, turbulence transport modelling, stochastic & fractal modelling, numerical differential equation solvers.

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KEA Python Package

I have developed a Python package to provide and simplify tools that are commonly used in astrophysical plasma turbulence analysis as well as testing observational processing pipelines.