Researcher
Irwan Bello
Current role not listed
Bello develops ways to make AI models more efficient. His vision research helped models connect information across an image; he created LambdaNetworks to do this with less computation. He also co-developed ST-MoE, improving the training of large language models that activate only selected parts of the network for each input.
Career & education
Previously
Reflection AI2024-Apr 2026Founding team, post-training lead
OpenAI2023-2024
Character.AI2022-2023Founding team
Google Brain2016-2022Research Scientist
Reflection AI2024-Apr 2026OpenAI2023-2024Character.AI2022-2023Google Brain2016-2022Education
CentraleSupélec
Stanford UniversityWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations38,415As of Oct 23, '26
citations+669Since last snapshot, Jun 15, '26
Selected contributions
GPT-4 Technical Report
With OpenAI, Joshua Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman and others ·Reported GPT-4's capabilities, limitations and safety evaluations as a text-and-image input model.
Based on public sources. If accuracy is important, verify details using the links or references.
For corrections, updates, or requests to remove information, contact us.