https://jacaseyclyde.github.io/tags/hierarchical-bayesian-modeling/Hierarchical Bayesian ModelingHugo Blox Builder (https://hugoblox.com)en-usWed, 29 May 2024 00:00:00 +0000https://jacaseyclyde.github.io/media/icon_hu13068158549209708524.pnghttps://jacaseyclyde.github.io/tags/hierarchical-bayesian-modeling/https://jacaseyclyde.github.io/project/signposting/Wed, 29 May 2024 00:00:00 +0000https://jacaseyclyde.github.io/project/signposting/<p>🚀 <strong>Using Quasars to Uncover Black Hole Pairs</strong> 🌌</p> <p>As the lead on this project, I explored how quasars—exceptionally bright objects powered by black holes—can help identify pairs of merging supermassive black holes. By integrating data from gravitational waves, quasar activity patterns, and galaxy observations, I developed a framework to estimate how often quasars host these black hole pairs.</p> <p><strong>Key Outcomes:</strong></p> <ul> <li>Found that quasars are up to <strong>seven times more likely</strong> than other galaxies to host black hole pairs, highlighting them as priority targets for future studies.</li> <li>Improved regression analysis efficiency by <strong>300x</strong>, enabling faster and more scalable data analysis.</li> </ul> <p><strong>Why It Matters for Industry:</strong> This project demonstrates my ability to combine diverse datasets, optimize computational performance, and uncover insights in complex systems—skills directly relevant to data science, machine learning, and analytics roles.</p> <p>Let’s connect to discuss how these approaches can solve challenges in your industry! 🌟</p>