Dahua Lin
Assistant Professor at The Chinese University of Hong Kong
Hong Kong, China
Summary
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Rockstar🎓
Top SchoolDahua Lin is an Assistant Professor at The Chinese University of Hong Kong with 13 years of experience leading research in machine learning, computer vision, and big data analytics, focused on deep learning, probabilistic modeling, high-level visual understanding, and generative image modeling. He combines rigorous academic training (PhD from MIT) with practical research stints at Microsoft Research and TTIC, producing work that spans theory and scalable implementations. An active open-source contributor in the Julia ecosystem, he has improved core numerical and statistical libraries (including Julia itself and Distributions.jl), demonstrating attention to performance and numerical correctness. His background in both algorithmic development and systems-level optimization underpins research that targets real-world visual understanding problems at scale.
14 years of coding experience
2 years of employment as a software developer
The Chinese University of Hong Kong (CUHK)PhD, Computer Science, PhD, Computer Science at Massachusetts Institute of TechnologyB. Eng., Electronic Engineering and Information Science, B. Eng., Electronic Engineering and Information Science at University of Science and Technology of ChinaHong Kong University of Science and Technology (HKUST)
English, Chinese
Github Skills (24)
algorithm10
algorithms10
programming-language10
testing10
stack10
sampling10
stacker10
queuing10
distributions10
data-structure10
language-design10
performance-optimization10
data-structures10
deque10
probability-distribution10
Programming languages (7)
Github contributions (5)
JuliaStats/Distributions.jl
Feb 2013 - Feb 2017
A Julia package for probability distributions and associated functions.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:534 commits, 11 PRs, 87 pushes in 4 years
Contributions summary:Dahua made multiple contributions to the `distributions.jl` repository, focusing on improving and extending probability distributions and associated functions. Their work included correcting and optimizing implementations of the log probability density function (logpdf) for the MultivariateNormal distribution, significantly improving performance. They also added new functionality by implementing logpdf and logpdf! functions for the MultivariateNormal and Dirichlet distributions for efficient batch evaluation. Additionally, they added methods to determine the sample dimension of the multivariate distributions.
juliastatisticsdata-scienceprobability-distributions
JuliaStats/StatsBase.jl
May 2013 - Jul 2015
Basic statistics for Julia
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:228 commits, 1 PR, 14 pushes in 2 years 3 months
Contributions summary:Dahua primarily contributed to the development of basic statistical functions and algorithms for the Julia language. Their work included fixing bugs in existing tests and implementing new functionality, such as sampling without replacement, along with more complex mathematical functions like the zscore function. They also made revisions to the underlying codebase, refining existing logic and adding performance improvements. Their contributions targeted functionality related to mathematical statistical functionality.
juliastatisticssummarizationstatistical-models
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