Will Hamilton
Garden Leave at Citadel
Town of Mamaroneck, New York, United States
Summary
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RockstarWill Hamilton is a machine learning researcher-practitioner with 11 years of experience bridging academia and finance, currently on garden leave from Citadel after serving as a senior quantitative researcher. He held faculty roles at McGill and Mila, contributing to NLP and network analysis research and advising IVADO Labs, and spent time as a visiting researcher at Meta. Will brings practical ML engineering chops—demonstrated by contributions to prominent graph representation work such as GraphSAGE—translating research-grade models into evaluated, production-aware pipelines. Based in Mamaroneck, NY, he combines rigorous academic publication experience with hands-on model development and evaluation for high-stakes quantitative applications. An interesting through-line: he regularly blends embedding-based approaches with classic feature engineering to squeeze extra predictive value from graph and NLP problems.
11 years of coding experience
7 years of employment as a software developer
Github Skills (9)
scikit-learn10
machine-learning10
eval10
python10
evaluation10
numpy10
scikit10
data-preprocessing9
tensorflow3
Programming languages (4)
Github contributions (5)
williamleif/GraphSAGE
May 2017 - Jul 2018
Representation learning on large graphs using stochastic graph convolutions.
Role in this project:
ML Engineer
ML EngineerContributions:42 commits, 5 PRs, 22 pushes in 1 year 2 months
Contributions summary:Will primarily contributed to the development and evaluation of machine learning models for graph representation learning. Their work involved adding evaluation scripts for different datasets, focusing on regression tasks using the SGDClassifier. The user integrated existing feature sets, and experimented with using features with the learned embeddings for improved model performance, demonstrating an understanding of data preprocessing and model evaluation.
representationautoencodergraph-convolutional-networksconvolutionsdeep-learning
williamleif/graphqembed
Mar 2018 - Jul 2019
Learning to query complex networks
Contributions:10 commits, 2 pushes in 1 year 4 months
querygraph-convolutional-networksneural-networkscomplex-networks
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