Bui Duy Quoc Nghi, PhD
College of Engineering and Computer Science
Affiliate Faculty
Center for AI Research
Affiliate Faculty
Biography
Dr. Bui Duy Quoc Nghi is an Affiliate Assistant Professor at the College of Engineering and Computer Science, and the Center for AI Research, VinUniversity. He brings a substantial track record as a principal AI researcher in frontier industrial research labs across the United States and China, having held Principal Research positions at Salesforce AI Research and Huawei Ireland Research Center, and currently serving as a Staff Research Scientist at Google Research, working across products and research to contribute to the coding capabilities of Gemini.
Dr. Bui received his PhD from Singapore Management University, with a focus on Artificial Intelligence for Complex Systems. His research interests center on building core-layer technology for next-generation agentic systems that transform how software is developed, including model post-training, reinforcement learning, and code reasoning to push the boundaries of what coding agents can do. His extensive research portfolio includes 4 US patents and over 30 papers published at premier venues across natural language processing, machine learning, and software engineering, including ICLR, AAAI, ACL, and EMNLP. This includes being honored with two Distinguished Paper Awards at ICSE, the field’s premier software engineering conference.Bridging the gap between foundational science and practical application, he brings a vast amount of experience in successfully translating frontier research into AI-first products that serve millions of users. He applies hands-on expertise in scaffold design, harness architecture, and context engineering to deliver next-generation agentic solutions.
Beyond research, Dr. Bui has been a key leader in establishing AI Residency programs in Vietnam, including the FPT AI Residency and the VinUni AI Residency, aimed at cultivating the next generation of AI research talent and creating structured pathways for early-career researchers to enter frontier AI work.
· Large Language Models
· Coding Agents
· Agent Harness Design
· Post-Training of Foundation Models for Agentic Tasks
· Evaluation Methodology for Agentic Systems
· AI for Product Design
· AI for Cybersecurity
· Artificial Intelligence
· Natural Language Processing
· Software Engineering
· System Design
· Dung Manh Nguyen, Thang Chau Phan, Nam Le Hai, Tien-Thong Doan, Nam V. Nguyen, Quang Pham, and Nghi D. Q. Bui, CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding and Reasoning Capabilities of CodeLLMs, International Conference on Learning Representations (ICLR), 2025.
· Nam Le Hai, Dung Manh Nguyen, and Nghi D. Q. Bui, On the Impacts of Contexts on Repository-Level Code Generation, The Nations of the Americas Chapter of the Association for Computational Linguistics: NAACL, 2025.
· Huy Nhat Phan, Hoang Nhat Phan, Tien N. Nguyen, and Nghi D. Q. Bui, RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion, 2nd ACM international conference on AI Foundation Models and Software Engineering (Forge@ICSE), 2025.
· Minh Huynh Nguyen, Thang Phan Chau, Phong X. Nguyen, and Nghi D. Q. Bui, AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology, 2nd ACM international conference on AI Foundation Models and Software Engineering (Forge@ICSE), 2025.
· Hung Quoc To, Minh Huynh Nguyen, and Nghi D. Q. Bui, Functional Overlap Reranking for Neural Code Generation, Association for Computational Linguistics: ACL, 2024.
· CodeT5+: Open Code Large Language Models for Code Understanding and Generation Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven Hoi Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
· The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
· Nghi D. Q. Bui, Yijun Yu, and Lingxiao Jiang, InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees, IEEE/ACM International Conference on Software Engineering (ICSE), 2021.
· Nghi D. Q. Bui, Yijun Yu, and Lingxiao Jiang, TreeCaps: Tree-Based Capsule Networks for Source Code Processing, AAAI Conference on Artificial Intelligence (AAAI), 2021.
· Self-Supervised Learning for Code Retrieval and Summarization through Semantic-Preserving Program Transformations Nghi D. Q. BUI, Yijun YU, Lingxiao JIANG Proceedings of the 44th ACM Conference on Research and Development in Information Retrieval (SIGIR), 2021
· 2020: PhD in Computer Science, Singapore Management University
· 2013: BSc in Computer Science, Ho Chi Minh University of Science
· ACM SIGSOFT Distinguished Paper Award, IEEE/ACM 48th International Conference on Software Engineering, 2018
· Dean List, Singapore Management University, 2019
· ACM SIGSOFT Distinguished Paper Award, IEEE/ACM 40th International Conference on Software Engineering, 2018
