Hey, I'm Alex. I like to write about my ideas and whatever I'm learning about, including algorithms and data structures, bioinformatics, cryptocurrency, linguistics, and programming interviews (among other things).

I was born in Australia, but did my PhD in succinct data structures in Tokyo, and moved to San Francisco to work on self-driving cars at Cruise. Previously, I worked in bioinformatics at One Codex (another YC company), games at Infinite Interactive, and taught algorithms at Hyper Island. I am also interested in UX research, knowledge management and tools for thought, as well as fashion and photography.

This site is a repository for all the things I am interested in. If any of it is helpful or entertaining, please consider subscribing!

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## How to Recover a Bitcoin Passphrase

How I recovered a Bitcoin passphrase by performing a Breadth-First search on typos of increasing Damerau-Levenshtein distances from an initial guess.

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## Succinct de Bruijn Graphs

This post will give a brief explanation of a Succinct implementation for storing de Bruijn graphs, which is recent (and continuing) work I have been doing with Sadakane. Using our new structure, we have squeezed a graph for a human genome (which took around 300 GB of memory if using

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## FM-Indexes and Backwards Search

Last time (way back in June! I have got to start blogging consistently again) I discussed a gorgeous data structure called the Wavelet Tree. When a Wavelet Tree is stored using RRR sequences, it can answer rank and select operations in $\mathcal{O}(\log{A})$ time, where A is the

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## Wavelet Trees: an Introduction

Today I will talk about an elegant way of answering rank queries on sequences over larger alphabets – a structure called the Wavelet Tree. In my last post I introduced a data structure called RRR, which is used to quickly answer rank queries on binary sequences, and provide implicit compression. A

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## RRR: A Succinct Rank/Select Index for Bit Vectors

This blog post will give an overview of a static bitsequence data structure known as RRR, which answers arbitrary length rank queries in $\mathcal{O}(1)$ time, and provides implicit compression. As my blog is informal, I give an introduction to this structure from a birds eye view. If you

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## Iterative Tree Traversal

By memorizing a simple implementation of iterative tree traversal we simplify a large number of programming interview questions.

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