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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Chemokinesis and the Curse of Dimensionality
Published:
Chemokinesis is movement whose speed depends on a local chemical signal, without any directional sensing.
Three Underrated Theorems in Probability
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Probability theory has a few results that receive most of the attention: the central limit theorem, Bayes’ rule, the law of large numbers. These are foundational and rightly so. But there are other theorems that quietly shape how statisticians and machine learning researchers think about convergence, uncertainty, and estimation, yet rarely appear in standard courses. Here are three that I have found particularly useful.
portfolio
Clac Permalink
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A series of programming language projects exploring pattern matching, macro expansion, and interpreter design
ContextFlow Permalink
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A .NET library for building structured LLM interactions through dependency injection and fluent interfaces
Embyte Permalink
Published:
A customizable embed generator for websites, inspired by Discord’s rich embeds
Finsights Permalink
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A newsletter service that sends automated performance updates for selected stocks
GPTVault Permalink
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A recursive knowledge accumulation system using large language models to build structured concept graphs
Instadata Permalink
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A scalable Instagram scraper built with Django for data science pipelines
LetoReader Permalink
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A minimalistic, highly customizable speed reader built as an open-source alternative to paid tools
PV Growth Forecasting Permalink
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Multivariate time series forecasting of photovoltaic electricity production in Germany
Soccer Match Prediction Permalink
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A comparison of goal-count regression versus win/loss/draw classification for football match forecasting
Temporal Regularized Learning Permalink
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A highly local, self-supervised learning procedure that optimizes each neuron individually
TimeWise Permalink
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A workforce scheduler using integer linear programming to generate optimal shift assignments
Gradient Routing for Continual Learning Permalink
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Evaluating sparsity and gradient-reweighted updates as a mechanism for continual learning
Closed-Form Initialization Permalink
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An analytical approach to neural network initialization using covariance and eigendecomposition
pptrain Permalink
Published:
A PyTorch-native library for pre-pretraining language models on synthetic tasks
publications
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.