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Two months ago, I wrote a blog post about the start of a new chapter.
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This blog post is going to be much shorter than my last one, so I’ll get straight to the point: I’m leaving academia.
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It’s 2026.
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It’s 2023.
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BibTeX has become a universal reference management format in the mathematical sciences.
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Markov chains appear everywhere: they are used as a computational tool within Bayesian statistics, and a theoretical tool in other areas such as optimal control and reinforcement learning.
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The TeX typesetting system is a lovely bit of software: one can easily use it to typeset production-grade documents such as mathematical papers.
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Lots of people, both in the academic and software communities, have personal websites.
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Julia is a wonderful programming language.
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In my previous posts, I introduced Bayesian models and argued that they are meaningful.
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Bayesian statistics provides powerful theoretical tools, but it is also sometimes viewed as a philosophical framework.
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Deep learning is perhaps the single most important breakthrough in statistics, machine learning, and artificial intelligence that has been popularized in recent years.
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Welcome to my blog!