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Hi there šŸ‘‹

I am a Research Scientist at Fano Labs working on automatic speech recognition (ASR). Previously, I was a PhD student in Modern Statistics and Statistical Machine Learning at Imperial College London.

  • šŸŒ± Iā€™m currently learning how to write good code.
  • šŸ“« Feel free to reach out to me at harrisonzhu5080 [at] gmail [dot] com

Harrison Zhu's Projects

bsae icon bsae

Bayesian small area estimation

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

covid19model icon covid19model

Code for modelling estimated deaths and cases for COVID19.

data icon data

Daily time-series data for all countries & state/province data for 30+ countries

dbarts icon dbarts

Discrete Bayesian Additive Regression Trees Sampler

diffrax icon diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

dirichlet-bayes icon dirichlet-bayes

Targeting a finite mixture using a Dirichlet process-style Gibbs Sampler

emukit icon emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

gpflow icon gpflow

Gaussian processes in TensorFlow

hugo-academic icon hugo-academic

šŸ“ The website builder for Hugo. Build and deploy a beautiful website in minutes!

mgpvae icon mgpvae

Markovian Gaussian Process Variational Autoencoders

neural-processes icon neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

torchsde icon torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

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