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 primary research interest is how machine learning/AI can be applied to physical sciences, with particular interest in problems of knowledge incorporation, small datasets, and model reliability. Before that, 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.

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