Patrick Aleo
Lenexa, Kansas, United States
Summary
👤
Senior🎓
Top SchoolPatrick Aleo is a Senior Associate in Data Science & AI with a Ph.D. in Astronomy and over a decade of experience transforming large, noisy scientific datasets into production-ready ML solutions for enterprise stakeholders. He has led international collaboration projects—most notably the Young Supernova Experiment data release—built anomaly detection and recommendation systems for streaming volumetric data, and moved research prototypes into operational settings at Honeywell and Eldridge. Patrick blends deep domain expertise in astrophysics with practical skills in scalable ML, data visualization pipelines, and automated decision-making for scientists. Based in Lenexa, KS, he’s comfortable managing cross-disciplinary teams and mentoring junior researchers while delivering measurable business impact. A detail that sets him apart: his work spans both science communication (production-quality visualizations for documentaries) and enterprise AI, bridging storytelling and rigorous model development.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at The University of Texas at AustinUniversity of Illinois Urbana-Champaign
Github Skills (30)
anomaly-detection7
science5
curve5
segmentation5
mask5
viewer5
python5
nmf5
fundamentals4
machine-learning4
galaxy4
deep-learning4
broker4
computer-vision4
supernova4
Programming languages (4)
Github contributions (5)
patrickaleo/ast596_2020_Spring
Jan 2020 - May 2020
Course materials for Fundamentals of Data Science
Contributions:45 pushes in 3 months
pythonsciencedata-sciencefundamentalsmachine-learning
patrickaleo/astrodet
Mar 2021 - Oct 2021
Contributions:2 PRs, 33 pushes in 6 months
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