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