Mingxuan Zhao
Employers on the program
- 2025–2026IBM5 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- PyData
- PyTorch Conference
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 5, 2026 | PyData London 2026 | PyData | tutorial | Learn to Unlock Document Intelligence with Open-Source AI as IBM Research Unlocking the full potential of AI starts with your data, but real-world documents come in countless formats and levels of complexity. This session will give…Show lessUnlocking the full potential of AI starts with your data, but real-world documents come in countless formats and levels of complexity. This session will give you hands-on experience with Docling, an open-source Python library designed to convert complex documents into AI-ready formats. | |
| Apr 7, 2026 | PyTorch Conference Europe 2026 | PyTorch Conference | speaker | Teaching PyTorch To Read Your Worst PDFs With Docling as IBM Building production RAG pipelines starts with a problem most teams underestimate: getting clean, structured data out of real-world documents. PDFs lose table…Show lessBuilding production RAG pipelines starts with a problem most teams underestimate: getting clean, structured data out of real-world documents. PDFs lose table structure, figures get separated from captions, and multi-column layouts become unreadable. Before your PyTorch models even see your data,... | |
| Dec 8, 2025 | PyData Boston 2025 | PyData | tutorial | Learn to Unlock Document Intelligence with Open-Source AI as IBM Unlocking the full potential of AI starts with your data, but real-world documents come in countless formats and levels of complexity. This session will give…Show lessUnlocking the full potential of AI starts with your data, but real-world documents come in countless formats and levels of complexity. This session will give you hands-on experience with Docling, an open-source Python library designed to convert complex documents into AI-ready formats. | Video |
| Oct 21, 2025 | PyData Vermont 2025 | PyData | tutorial | Complex Data Ingestion with Open Source AI as IBM Research If you have worked with AI in any capacity, you'll know that AI is only as valuable as the data in can leverage. Data is the cornerstone of AI, and developers…Show lessIf you have worked with AI in any capacity, you'll know that AI is only as valuable as the data in can leverage. Data is the cornerstone of AI, and developers need better ways to transform complex documents into structured data ready for model training and inference. | Video |
| Sep 24, 2025 | PyData Amsterdam 2025 | PyData | tutorial | Meet Docling: The “Pandas” for document AI as IBM Ming Zhao A workshop session to show you the basics on how to use Docling to enhance document ingestion in your AI workflow. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Daina Bouquin | 3 | — | 2026 |
| Carol Chen | 2 | 2 | 2026 |
| Adam Hill | 2 | — | 2026 |
| Gergely Daroczi | 2 | — | 2026 |
| Jacob Tomlinson | 2 | — | 2026 |
| Katrina Riehl | 2 | — | 2026 |
| Paddy Mullen | 2 | — | 2026 |
| Sayak Paul | 2 | — | 2026 |
| Naty Clementi | 2 | — | 2025 |
| Abby Tse | 1 | 1 | 2026 |
| Peter Staar | 1 | 1 | 2026 |
| Panos Vagenas | 1 | 1 | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.