Iris Shen
Principal Group Science Manager - M365 Copilot | LLM chat & search | Permission-aware RAG | Differential Privacy | Evaluation & Guardrails | ex‑MSR
- Role
- Principal Group Manager - Ai Knowledge System at Microsoft
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Iris Shen
Enterprise AI leader building production Copilot chat & search: permission‑aware RAG, privacy‑first data for evaluation/fine‑tuning, and platform capabilities reused across M365. Previously at MSR: took Microsoft Academic Graph from research to a billion‑scale platform adopted by OECD AI Observatory and the Stanford AI Index; delivered KDD tutorials, an edX course, and invited talks.Specialties: LLM orchestration • RAG • differential privacy & synthetic data • evaluation & guardrails • search/recommendation • leading managers and senior ICs.
Experience
Principal Group Manager - Ai Knowledge System
Oct 2008 — Present
2021 May - present, Microsoft Office M365 MSAI (Microsoft Search, Assistant, and Intelligence), Redmond, Principal Group Manager - AI / Knowledge System - Lead the Microsoft Office Enterprise Knowledge team and deliver the horizontal Knowledge Service via M365 products such as Microsoft Business Chat (Copilot) and Microsoft Viva, with big-data based AI solutions- Drive the joint science and engineering strategy to meet and anticipate product needs & influence a cross-functional and cross-org v-team for the coordinated execution- 2014 Jun - 2021 May, Microsoft Research, Redmond, Principal AI Research & SDE Manager & Lead RSDE for Microsoft Academic: https://academic.microsoft.com/[adopted by OECD AI Observatory and Stanford AI index] Microsoft Academic leverages the cognitive power of machine and uses Microsoft Academic Graph (MAG) to assist humans in scientific research. Generate a Web-scale knowledge graph in academic domain with 400M+ entities and 2B+ relations- Build the engineering data pipeline to update a high-quality Microsoft Academic Graph (MAG) on a weekly basis- Apply fundamental research in Natural Language Processing (NLP), Data Mining and Machine Learning (ML) to recognize and identify academic contents from the Web- Lead and motivate a team of software engineers, applied scientists, and researchers to work on the Web-scale machine intelligence technologies- 2008 Oct - 2014 Jun, Microsoft Bing and Visual Studio Online-Tech led on several Business Intelligence (BI) and Data Warehouse (DW) projects for E-commerce platforms and Web application monitoring and telemetry.
Education
Peking University
Bachelor of Science - BS (Dual), Electrical and Electronics Engineering; Economics
University of Southern California
Ph.D., Operations Research, M.S. Computer Science
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