About Me

Jingwei is now a Lead Researcher at the Technology Innovation Institute (TII), UAE, where he leads the Falcon Foundational Models team. He and his colleagues drive the development of the Falcon family of large language models (LLMs), including Falcon-H1, Falcon-Edge, Falcon 3, and Falcon-Mamba. Their work spans the full LLM lifecycle — from novel architecture design and data curation to large-scale training, deployment, and system-level scaling. The team’s mission is to advance the efficiency, scalability, and usability of Falcon LLMs, bridging fundamental research with real-world applications. Jingwei received his PhD (2022) from University of Paris-Saclay, awarded the Plateau de Saclay Doctoral Prize, an MSc (2018) from University of Paris-Saclay, an Engineer degree (2017) from Sorbonne Université, and a BSc from Huazhong University of Science & Technology.

Current Open Positions (2025)
We’re recruiting LLM research interns (and a small number of full-time roles), If you’re interested, please feel free to reach out.

• Research interns - LLMs
• Researcher - LLMs
• Senior Engineer - LLMs
  

• (2025.7) The technical report of Falcon-H1 is released.
• (2025.6) The E2LM competition got accepted by NeurIPS’25, focused on early-stage training evaluations of LLMs. Registration is now open 🚀 The first prize is 6,000 USD🔥
• (2025.5) 🔥 The Falcon-H1 Series is released! Featuring a novel hybrid Transformer–SSM architecture, Falcon-H1 sets a new state of the art (SoTA) across every scale—0.5B, 1.5B, 3B, 7B, and 34B, and outperforms leading Transformer models double its size. Blogpost 🔍
• (2025.5) 🚀 We just released Falcon Edge! A series of powerful, universal, fine-tunable 1.58bit language models, check the blogpost here.
• (2024.12) Falcon 3 is out! Five base models + their Instruct versions: 1B, 3B, 7B, 10B and a more advanced 7B Mamba model, check the blogpost here.
• (2024.10) The technical report for Falcon Mamba 7B is released - check it here.
• (2024.08) Falcon Mamba 7B is released - the first strong attention-free 7B language model. Try it out in HuggingFace, check the blogpost here.

Preprint:

• J. Zuo, M. Velikanov, I. Chahed, Y. Belkada, D. Eddine Rhaiem, G. Kunsch, et al.: “Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance”, arXiv’25
• M. Yagoubi, Y. Dahou, B. Mokeddem, Y. Belkada, P. H. Le-Khac, BB. El Amel Boussaha, R. Alami, Jingwei Zuo, D. Marsili, M. Farooq, M. Lalmas, G. Gkioxari, P. Gallinari, P. Torr, H. Hacid: “NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models ”, arXiv’25
• J. Zuo, M. Velikanov, D. Eddine Rhaiem, I. Chahed, Y. Belkada, G. Kunsch and H. Hacid: “Falcon Mamba: The First Competitive Attention-free 7B Language Model”, arXiv’24

Organizing committees:

• MDM 2020 Web Chair of the 21st IEEE Mobile Data Management Conference
• JDSE 2019 Junior organization committee of the 4th Paris-Saclay Junior Conference on Data Science and Engineering

Program committees:

• ECAI 2024 European Conference on Artificial Intelligence
• CIKM 2023, 2024 ACM International Conference on Information and Knowledge Management
• ECML-PKDD 2020 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Reviewing:

• TKDE IEEE Transactions on Knowledge and Data Engineering
• TheWebConf 2024 The ACM Web Conference 2024
• Inf. Sci. Information Sciences
• Artif. Intell. Rev. Artificial Intelligence Review
• JBHI IEEE Journal of Biomedical and Health Informatics
• SIGSPATIAL 2022 ACM International Conference on Advances in Geographic Information Systems
• ICDE 2021 IEEE International Conference on Data Engineering
• AAAI 2021 AAAI Conference on Artificial Intelligence
• SSTD 2021 International Symposium on Spatial and Temporal Databases
• DSAA 2020 IEEE International Conference on Data Science and Advanced Analytics

• firstname dot lastname at tii dot ae
• PO Box: 9639, Masdar City, Abu Dhabi, UAE

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