Dr. Armstrong is a researcher at the intersection of software ecosystem sustainability, affective computing, the trustworthiness of safety-critical systems, and software engineering for machine learning applications, including foundational models, AIWare, and Agentware. He mines massive datasets, including software repositories, and applies socio-technical data science techniques to uncover patterns and empirically make informed decisions.

Presentations

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Unleashing AI with OpenInfra: The Future of Open Source in Artificial Intelligence

As AI adoption accelerates across industries, organizations are seeking infrastructure solutions that meet the unique demands of AI workloads without locking them into proprietary ecosystems. OpenInfra solutions are emerging as a powerful alternative to traditional platforms, enabling scalable, flexible, and cost-efficient AI infrastructure. This expert-led panel will delve into how open source technologies are addressing the infrastructure needs of AI while fostering collaboration and reducing reliance on proprietary systems.

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Leveraging OpenInfra and Open Source GenAI to Address Climate Change

In today's AI-driven development landscape, the OpenInfra community has a unique opportunity to lead in integrating foundational models (FMs) and AI agents into open-source workflows. By leveraging datasets and collaboration frameworks within the OnpenInfra ecosystem project teams, I have trained and fine-tuned open-source models—including LLaMA 3, SantaCoder, Mistral-7B, and OpenLLaMA-13B—to assist contributors in over 21 socio-technical tasks. These efforts have led to noticeable productivity improvements and offer a roadmap for how OpenInfra can harness AI to meet its objectives.

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