Paco Wong - Graduate Associate

Paco Wong

Graduate Associate

Hong Kong, China

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Summary

👤

Senior

🎓

Top School

Paco Wong is a Hong Kong–based MSc candidate at LSE and a Graduate Associate at HKEX with 11 years of diverse experience spanning finance, VC analysis, and entrepreneurship. He blends hands-on programming (Python, Java, VBA/Macro) with strong Excel and presentation skills to deliver data-driven solutions for financial problems. As an open-source contributor he extended Facebook Research’s Nevergrad with Pyomo integration and domain examples, demonstrating an ability to bridge optimization tooling and real-world constrained models. Paco’s background founding a startup and leading student organisations shows entrepreneurial grit and team leadership alongside technical fluency. He is especially effective at translating research-grade algorithms into practical workflows that accelerate discovery and decision-making.

11 years of coding experience

1 year of employment as a software developer

London School of Economics and Political Science

Bachelor of Science - BSc(Hons), Bachelor of Science - BSc(Hons) at University of Exeter

Github Skills (11)

algorithm10

pyomo10

mathematical10

optimisation10

python10

optimizers10

modeling10

optimization10

causal-discovery7

networkx6

machine-learning4

Programming languages (5)

C++RustSwiftPythonDart

Github contributions (5)

facebookresearch/nevergrad

Aug 2020 - Aug 2021

A Python toolbox for performing gradient-free optimization

Role in this project:

Back-end Developer

Contributions:3 reviews, 8 commits, 13 PRs in 1 year

Contributions summary:Paco implemented a Pyomo integration, allowing the toolbox to utilize Pyomo models for gradient-free optimization, including both concrete and abstract models with constraints. They added a unit commitment problem and a causal discovery problem, extending the functionality of the optimization library to new problem domains. Furthermore, they optimized code for value assignment in Pyomo and enhanced documentation by adding an example and providing a more detailed demonstration.

pythontoolboxgradient-free-optimizationoptimizationpython-toolbox

GoodNotes/onnxruntime

Mar 2023 - Feb 2025

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Contributions:3 releases, 4 reviews, 30 PRs in 1 year 11 months

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