Peter Staar
IBM Research manager and Docling technical lead; chairs the LF AI & Data Technical Advisory Council
- Chairperson, Technical Advisory Council, LF AI & Data Foundation1
- Principal Research Staff Member, Master Inventor and manager of the AI for Knowledge group, IBM Research, IBM1
Peter W. J. Staar is a Principal Research Staff Member, Master Inventor and manager of the AI for Knowledge group at IBM Research, and chairs the Technical Advisory Council of the LF AI & Data Foundation. Staar is the technical lead and TAC chair of Docling, the open-source document conversion toolkit hosted by LF AI & Data, and a maintainer of its repository.123
Career
Staar first worked at IBM as a summer student in 2006 and, after postdoctoral work in theoretical physics and scientific computing at ETH Zurich, joined IBM Research as a postdoctoral researcher in 2014. Over the following decade Staar led IBM's document AI platform from the Corpus Conversion Service and Deep Search to an open-source document intelligence stack.16
Staar now manages IBM Research's AI for Knowledge group and chairs the LF AI & Data Technical Advisory Council, as well as the TAC of Docling and of Doclang, an initiative on structured document representation.1
Open-source work
Docling parses documents into a unified representation for generative AI applications and is released under the MIT license as an LF AI & Data project. Staar is the senior author of its 2024 technical report and 2025 toolkit paper and is listed among the repository's maintainers.2453
Earlier datasets from Staar's group include DocLayNet, a human-annotated dataset for document-layout analysis, a task the paper describes as key to high-quality PDF conversion.7
Work
DoclingOpen-source code
Technical lead and senior author of the Docling technical report (2024) and toolkit paper (2025); the MIT-licensed project converts documents for use with generative AI and is hosted by the LF AI & Data Foundation.4521
Corpus Conversion Service (external site: arxiv.org)Published research
First author of the 2018 paper on the Corpus Conversion Service, a machine-learning platform for ingesting documents at scale, an early part of IBM's document AI platform.61
DocLayNet (external site: arxiv.org)Open data
Senior author of DocLayNet, a 2022 human-annotated dataset for document-layout analysis.7
Career timeline
2014
Joined IBM Research as a postdoctoral researcher.1
May 24, 2018
First-authored the Corpus Conversion Service paper on ingesting documents at scale.6
Jun 2, 2022
Was the senior author of DocLayNet, a dataset for document-layout analysis.7
Aug 19, 2024
Was the senior author of the Docling Technical Report.4
Jan 27, 2025
Was the senior author of the paper on Docling as an open-source document conversion toolkit.5
Other documented roles
Roles the sources document but that are not confirmed as current.
- Postdoctoral researcher in theoretical physics and the Platform for Advanced Scientific Computing (before 2014), ETH Zurich1
Honors and recognition
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