- Member of the technical staff, Microsoft AI12
Luca Soldaini works on scalable data methods for language models, from pre-training to post-training. From 2022 to early 2026, Soldaini was a lead research scientist at Ai2 and co-led the Olmo project, which released three generations of fully open models in dense, mixture-of-experts, hybrid, and multimodal variants, together with the data, code, recipes, and checkpoints used to build them. Soldaini is first author of the paper introducing Dolma, a three-trillion-token open corpus for language model pretraining research, and is now a member of the technical staff at Microsoft AI.123
At a glance
- Current role
- Member of the technical staff
- Company
- Microsoft
- Sector
- Company
- Fields
- Language models, Datasets and data
- Work listed
- 3
- Sources cited
- 8
- Profile reviewed
Career
Luca Soldaini completed a PhD in computer science at Georgetown University in 2018, in the Information Retrieval Lab with Nazli Goharian, with a thesis on information retrieval systems for medical experts and lay health users. Soldaini then worked as a senior applied scientist at Alexa on efficient question answering for long-tail knowledge, including work in 2021 to scale generative question answering in production.1
From 2022 to early 2026 Soldaini was a lead research scientist at Ai2, co-leading the Olmo project. Soldaini is now a member of the technical staff at Microsoft AI, working on the MAI-Thinking models.12
Open models and data
Soldaini is first author of Dolma (2024), a three-trillion-token open corpus for language model pretraining research, and a co-author of the first OLMo paper, "OLMo: Accelerating the Science of Language Models" (2024). During Soldaini's time at Ai2, the Olmo project released three generations of dense, mixture-of-experts, hybrid and multimodal models with their data, code, recipes and checkpoints.341
Soldaini is second-listed author of OLMoE (2024), an open mixture-of-experts language model, and of "2 OLMo 2 Furious" (2024), the OLMo 2 report, and co-authored olmOCR (2025), which uses vision language models to extract text from PDF documents.567
Work and contributions
OLMo
Co-led the Olmo project at Ai2, which released dense, mixture-of-experts, hybrid, and multimodal open models alongside their data, code, recipes, and checkpoints.1
Dolma
First author of the paper describing Dolma, a three-trillion-token open corpus built for language model pretraining research, released with an open-source data curation toolkit.3
Olmo 3 7B (base) Open weights
Listed in the Olmo 3 report's author contributions for technical leadership, model architecture and training methodology, and base model data acquisition.8
Timeline
- Completed a PhD in computer science at Georgetown University's Information Retrieval Lab.1
- Helped scale generative question answering at Alexa as a senior applied scientist.1
- Joined Ai2 as a lead research scientist; co-led the Olmo project until early 2026.1
- First author of Dolma, an open corpus of three trillion tokens for pretraining research.3
- Co-authored "OLMo: Accelerating the Science of Language Models".4
- Second-listed author of OLMoE, an open mixture-of-experts language model.5
- Second-listed author of "2 OLMo 2 Furious", the OLMo 2 technical report.6
- Co-authored olmOCR, on extracting text from PDFs with vision language models.7
Other documented roles
Roles the sources document that are not confirmed as current.
- Lead research scientist, Ai2 (Allen Institute for AI)1
Where they work
- Microsoft 75 people in the wiki
Related people
- Ronen EldanAlso at Microsoft
- Rangan MajumderAlso at Microsoft
- Yuanzhi LiAlso at Microsoft
- Bill DolanAlso at Microsoft
- Kristina ToutanovaAlso at Microsoft
- Leo GaoLanguage models · Datasets and data
- Jesse DodgeDatasets and data · Language models
- Sridhar RamaswamyLanguage models · Datasets and data
- Avi SilLanguage models · Datasets and data
- Christopher RéLanguage models · Datasets and data
Suggest a correction or removal
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References
8 sources · profile reviewed Oct 21, 2026 · data updated Oct 22, 2026
- Luca Soldaini (personal site)
- soldni on GitHub
- Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research (arXiv 2402.00159)
- OLMo: Accelerating the Science of Language Models (arXiv 2402.00838)
- OLMoE: Open Mixture-of-Experts Language Models (arXiv 2409.02060)
- 2 OLMo 2 Furious (arXiv 2501.00656)
- olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models (arXiv 2502.18443)
- Olmo 3 (arXiv 2512.13961)