👋 Hello!
Ian Hubbard here… if you’re reading this, welcome!
Bio.
I’m obsessed with all things computational. I currently work as a researcher, as cross-functionally as I can, in marine propulsion hydrodynamics, computational fluid dynamics and machine learning engineering @ Wärtsilä Propulsion.
I am a husband and a father of two (one human, one not). I am Canadian born to Maltese parents and have lived in 4 countries so far; currently stationed in The Netherlands. I studied mechanical engineering, maritime engineering and specialized in numerical hydrodynamics.
I have spent my life trying many things. Sometimes I go in hard on something, sometimes I quit prematurely because my attention is torn away to something else. I have always found grounding in crossing computation with mechanical engineering.
Why ‘slow polymathy’
The polymath draws connections across multiple fields, using perspectives and insights from one domain to inform direction or solutions in another. I’ve spent most of my career doing this instinctively, pulling between physics, numerics, and machine learning, without ever being deliberate about it.
This blog is an attempt to be deliberate about it.
My intention is to endeavour on minimizing a loss function: the residual between where I am now and something closer to modern polymathy. It will never converge, but I can hope to slowly reduce the error. The posts here; micro-projects, ideas, explorations at various depths, represent the gradients.
If you vibe with any of this and care to connect, feel free to reach out!
LinkedIn: ianhubbard
Github: srcterm
X: @src_term
ResearchGate: Ian Hubbard