Jerome De Leon
Project Assistant Professor at The University of Tokyo
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolJerome De Leon is an astronomer and data scientist with 10 years of experience applying machine learning and software engineering to both industrial and astronomical problems. As a Project Assistant Professor at the University of Tokyo, he builds laser processing systems with an engineering lab by day and leads exoplanet discovery and time-series imaging analyses by night, having co-led a team that discovered 37 new planets published in MNRAS. He combines hands-on backend development—contributing API integrations and data-caching fixes to open-source projects like fastquant—with administration of research servers and production data pipelines. Fluent in Japanese studies and trained across institutions in Japan, Taiwan, and the Philippines, he bridges academic rigor and product-focused engineering. Notably, he pairs classroom and outreach experience with practical ASR and image-processing work, making him adept at turning complex scientific data into operational systems and compelling stories.
10 years of coding experience
8 years of employment as a software developer
University of TokyoJapanese Language and Literature, Japanese Language and Literature at Tokyo University of Foreign StudiesBachelor of Science (BS), Engineering Physics/Applied Physics, Bachelor of Science (BS), Engineering Physics/Applied Physics at University of the Philippines
English, Japanese
Github Skills (7)
apim10
api10
python10
back-end-development10
quantitative-finance10
data-processing10
data-retrieval10
Programming languages (7)
Github contributions (5)
enzoampil/fastquant
Apr 2020 - Dec 2021
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 reviews, 91 commits, 38 PRs in 1 year 8 months
Contributions summary:Jerome's commits primarily focus on enhancing and maintaining the back-end functionality of the fastquant project. They added code to interact with external APIs for data retrieval, including a new API endpoint, and modified existing methods for data processing. The contributions also include updates to the disclosure module to fix issues with the data retrieval and caching mechanisms. Furthermore, the user made changes to the strategy module.
pythonfinancestocksalgorithmic-tradinglines
jpdeleon/quicklook
Sep 2023 - Mar 2025
Quick look lightcurve generator
Contributions:2 releases, 6 PRs, 95 pushes in 1 year 6 months
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