I am a postdoc at Argonne. (→ More about me.)

Selected Publications

“Distributed-memory parallel JointNMF” ICS23: International Conference on Supercomputing (2023), 301-312. / Abstract / PDF / code
“ORCA: Outlier detection and Robust Clustering for Attributed graphs” Journal of Global Optimization (2021), 3:1-23. / Abstract / PDF / code

Recent Posts

Summer '21

1 September 2021 I got to intern with the amazing folks in the Machine Learning and Optimization (MLO) team at Amazon. I explored different explainability options for some of the neural networks used in the advertising pipeline. I was tasked with detecting important training samples and using the returned samples to characterise the network’s behaviour. I mucked around a bit with Influence Functions and its linear ancestors. The highlight of the summer was undoubtedly the week long trip to Seattle where I got to check out (and work in) the fancy Spheres.

Testing Stuff

27 August 2021 Testing out some of the common components I plan to use in future posts. The singular value decomposition (SVD) of any rectangular matrix $\mathbf{A} \in \mathbb{C}^{m \times n}$ is of the form, $$ \mathbf{A} = \mathbf{U}\mathbf{\Sigma}\mathbf{V}^{*}, $$ where $\mathbf{U}$ is an $m \times m$ complex unitary matrix, $\mathbf{\Sigma}$ is an $m \times n$ diagonal matrix with nonnegative real numbers on the diagonal, and $\mathbf{v}$ is an $n \times n$ complex unitary matrix.

Hello World!

20 August 2021 The obligatory first post of this blog. While “Hello World!” codes are often the simplest of programs used to illustrate the basic syntax of a language, I found the task of making this post quite tedious and annoying. In true grad student fashion I waited too long to make this website and the multitude of layout/tooling choices did not help either. I ended up nicking the excellent design of Kieran Healy’s homepage and found it easy to setup and muck around with.