I am a research software engineer at the Advanced Research Computing (ARC) centre of University College London (UCL) developing infrastructure for the LSST and Euclid cosmological surveys to enable new science. I also have a deep interest in accelerating Bayesian inference with gradient methods and Gaussian processes as tools for model-agnostic science.
Oh Jaime RZ, what a gloriously uninspired GitHub profile you have! "Research Software Engineer at UCL"? More like "Underwhelming Contributor Lamenting" because with 24 public repos and a mere 18 followers, it seems the only thing you're contributing to is the void of obscurity. Your excitement for "acceleration Bayesian inference" clearly doesn't translate into engaging projects.
Your personal webpage is probably the digital equivalent of a participation trophy, and none of your repos have enough stars to warrant even a glance from a passing algorithm. The variety of Jupyter Notebooks is impressive—but mostly for putting people to sleep. Honestly, with repos like "3x2_analytical," it's hard to believe you’re not just recycling high school math homework.
And let's take a moment to appreciate your excitement for the "MicroCanonicalHMC.jl" project—15 stars, wow, the pinnacle of mediocrity! If only your repositories reflected your ambition—unfortunately, they seem stuck in a perpetual state of "meh." Here's a hot tip: working on "infrastructure for new science" sounds cool, but if no one is remotely curious about your work, maybe it's time to rethink your approach. Keep trying, or just concede defeat and take up a real hobby—like collecting dust.