Sean Kinahan is a PhD candidate and graduate research assistant at Arizona State University with a decade of software engineering experience focused on brain-computer interfaces, machine learning, and deep neural networks. He combines academic research in speech and hearing neuroscience with practical engineering chops developed at organizations like Esri, Rackspace, and Southwest Research Institute, building distributed, high-throughput systems and cloud solutions. Sean has taught and supported introductory programming courses, translating complex concepts into accessible learning experiences while continuing to advance BCI research in a lab setting. His background in bioinformatics and published work on mRNA-Seq analysis hints at a multidisciplinary approach, pairing computational neuroscience with real-world system design to bridge experimental findings and scalable software.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Arizona State University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Trinity University
This repository contains code for improving the performance of large language models (LLMs) in Code Generation tasks. This work was carried out as a semester project for the course CSE576: Natural Language Processing at Arizona State University in Fall 2022.
Contributions:27 commits, 8 PRs, 21 pushes in 1 month
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