Austin Tripp

Welcome to my website, thanks for visiting!

I am a PhD student in the machine learning group at the University of Cambridge. My research is on Bayesian machine learning algorithms for drug discovery and chemistry (more info here). Before my PhD, I completed my BASc in nanotechnology engineering at the University of Waterloo.

Click to learn more about me, see my CV, or read my blog where I [occasionally] write about math, science, language learning, and my miscellaneous adventures.

Consulting / employment

I am looking for jobs (starting late 2024) and am in principle open to do consulting work. Please email me if you think I could be a good fit.

Highlighted blog posts

  • 10 Feb 2020   The Monty Hall Problem is Really About Policy Assumptions
  • 18 Jul 2019   A Quick Tutorial on Bash Quotes
  • 12 Sep 2018   Sparse Matrices: 5 Tips and Tricks
  • 21 Aug 2018   Why you should never be certain of your beliefs: a Bayesian perspective
  • 17 Jul 2018   An Overview of Gradient Boosting and Popular Libraries for it.
  • 02 Jul 2018   Turning Adam Optimization into SGD
  • 01 Jul 2018   Paper Review: A Computational Approach to Organizational Structure