I go by many names: the guy that likes Java a little too much, The Mad King, and The insane maths guy—and I quite adore all of them. I was born and raised in eSwatini (formerly known as Swaziland), and my academic approach is driven by a curiosity that refuses to stay within the lines. I seek to bridge the gaps between abstract theory, biological systems, and applied machine learning, operating on the belief that the most compelling problems are found at the intersection of different disciplines.

My research is centred on the power of interdisciplinary/applied machine learning. Currently, I am using computer vision to predict the nest selection patterns of solitary bee species. I work mainly in the PRIME lab, but my love for being nosey has landed me in RAIL too.

My broader interests in the field include:

• Computer Vision & Robotics: Exploring how autonomous systems perceive and interact with complex physical environments.
• Biological & Medical ML: Investigating the application of ML to biological data, such as Mass Spectrometry Imaging (MSI).
• Interdisciplinary Synthesis: Finding ways to translate methodologies across mathematics, biology, and engineering to solve non-traditional problems.

I have a habit of spending my free time on maths problems purely for the love of the game… for vibes, if you will. I have been called insane more times than I would like to admit, but hey man, I’m not stopping anytime soon:

• The Collatz Conjecture: A source of endless fascination and productive frustration. I have looked at it for a while, just because it’s pretty.
• The Riemann Hypothesis: I had no idea what this meant a few years ago, and I still don’t, but that won’t stop me from looking at it until something happens.
• Geometric Perimeters: I’ve attempted to find exact analytical solutions for the perimeter of an ellipse. Two to three years later, and lots of wasted paper, I can safely say I have made zero progress XD.