G'day, I'm Mark Bugden!

I am a Data Scientist, Mathematician, Theoretical Physicist, and Researcher.
I am currently working at the Max Planck Institute for Animal Behavior.

Project Portfolio

League of Legends Win Prediction

MACHINE LEARNING ● API ● CLUSTERING

Mathematical Modelling of Zombie Outbreak

MATHEMATICAL MODELLING ● DATA VISUALISATION ● PDEs

Fish Physics

MACHINE LEARNING ● PHYSICS INFORMED NEURAL NETWORK ● PDEs

Locust Physics

MACHINE LEARNING ● PHYSICS INFORMED NEURAL NETWORK ● PDEs

About Me

I am a researcher with a background in mathematics and theoretical physics. My PhD and subsequent postdoctoral research was based on string theory and higher-dimensional black holes. I am currently a postdoctoral researcher at the Max Planck Institute for Animal Behavior where I am using Machine Learning to model the collective movement of animals.

2013 Undergraduate Degree(s) UOW Wollongong, Australia 2018 PhD Degree ANU Canberra, Australia 2019 MSI "Kickstart" Postdoctoral Fellow ANU Canberra, Australia 2021 Potdoctoral Researcher Charles University Prague, Czech Republic Postdoctoral Researcher Max Planck Institute Konstanz, Germany

I am proficient in Python and the usual datascience packages, including Tensorflow, Seaborn, Pandas, Matplotlib, and Numpy. I am also familiar with common mathematical and typesetting software such as Mathematica, Maple, Matlab, and LaTeX.

You can find more information about the academic side of my career at my personal webpage.

Contact

I can be contacted at the following email address: mathphys@mark-bugden.com