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AI + SE Seminar Series: Baishakhi Ray

The incredible advances in AI/ML (Artificial Intelligence/Machine Learning) over the last few years are enabling the development of AI-enabled software systems. The trustworthiness and quality assurance of such systems remains a difficult challenge. At the same time, foundational models like Large Language Models (LLMs) show that various software development tasks (e.g., coding) can now be supported with AI-based suggestions (e.g., intelligent code completions)

The AI+SE seminar series invites speakers from academia and industry who are working at the intersection of AI and SE (SE = Software Engineering), such as the design of AI-enabled systems, quality assurance and testing of AI/ML models and their operationalization into software systems, as well as the modernization of traditional software development practices and works with ML-based techniques.

Learn more about the AI + SE Seminar Series.

June 21: Semantic-Aware AI: Elevating the Future of Software Development

In recent years, AI-based Software Engineering has experienced remarkable growth, with significant advancements in code generation, test generation, bug detection, and bug repair. However, current Code Language Models (Code LLMs) often lack a deep understanding of code semantics, resulting in performance issues and a general lack of trust in their outputs.

In this talk, I will explore how we can design, implement, and utilize AI models that effectively leverage the semantics of source code. By understanding and applying code semantics, we can create models that outperform state-of-the-art LLMs, often with smaller, more cost-effective models. Join me as we uncover how semantic-aware AI models can revolutionize software engineering, providing robust, dependable, and advanced tools for developers.


Baishakhi Ray is an Associate Professor of Computer Science at Columbia University. She works at the intersection of AI, Software Engineering, and Security. She received her Ph.D. degree from the University of Texas, Austin. She has received the IEEE TCSE Rising Star, NSF CAREER, IBM faculty, and VMWare Faculty awards. She is also an Amazon Visiting Academic. Her research has been acknowledged by many Distinguished Papers awards including FSE’17, ASE’22, ISSTA’23, the ICSME Most Influential Paper award, and has also been published in CACM Research Highlights and has been widely covered in trade media.

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Jun 21 2024


11:00 AM - 12:00 PM

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Lassonde School of Engineering
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