Lab leader

Jim Kleewein

Jim Kleewein is a Technical Fellow in Microsoft 365 who helps steer Microsoft Research groups working on efficient AI, agentic systems and AIOps. In 2021, he gave a Microsoft Research Summit keynote on privacy-preserving machine learning and coauthored a post on Microsoft's PPML initiative, which protects customer data when training large-capacity language models. His work on cloud reliability and efficiency includes a 2023 article on using GPT-3.x models to diagnose production incidents and the 2024 Workload Intelligence paper. Speaking for Microsoft 365, he made the case for in-chip microfluidic cooling in 2025 and said in October 2026 that parts of Microsoft 365 Copilot should speed up on the Maia 300 chip.

Timeline

  1. May 2021

    A CloudIntelligence 2021 panel

    In May 2021, he joins a panel on how to speed up cloud intelligence collaboration between academia and industry at the CloudIntelligence 2021 workshop, held alongside ICSE 2021.

  2. October 2021

    Microsoft Research Summit keynote

    At the Microsoft Research Summit in October 2021, he gives the keynote "Unlocking exabytes of training data through privacy preserving machine learning" on why private data is seldom used to train public models. He also joins the summit's Cloud Intelligence/AIOps panel as a Technical Fellow in Microsoft 365 and gives its closing remarks.

  3. November 2021

    The PPML initiative

    In November 2021, he coauthors a Microsoft Research blog post on the Privacy Preserving Machine Learning (PPML) initiative. Microsoft Research and Microsoft product teams run the initiative to protect the confidentiality and privacy of customer data when training large-capacity language models.

  4. April 2023

    LLMs for production incidents

    In April 2023, he coauthors "Towards Highly Reliable Services with AIOps", which describes Microsoft 365 research that uses GPT-3.x models to generate root causes and mitigation steps for production incidents. The study covers more than 40,000 incidents.

  5. April 2024

    The Workload Intelligence framework

    He coauthors "Workload Intelligence: Punching Holes Through the Cloud Abstraction", submitted to arXiv in April 2024 with Ricardo Bianchini, Rodrigo Fonseca and others. The paper proposes two-way communication between cloud workloads and the cloud platform and reports that it can cut prices to customers by 48.8% on average.

  6. September 2025

    Microfluidic chip cooling

    In September 2025, as technical fellow for Microsoft 365 Core Management, he explains the value of Microsoft's in-chip microfluidic cooling, which removes heat up to three times better than cold plates in lab-scale tests. He says the method would let Microsoft overclock servers during spiky workloads such as Teams calls.

  7. October 2026

    Copilot on Maia 300

    Microsoft unveils its third-generation Maia 300 AI accelerator in October 2026, and he says parts of Microsoft 365 Copilot should speed up with the chip.

  8. As of October 2026

    Technical Fellow in Microsoft 365

    He is a Technical Fellow in Microsoft 365 and sits in the leadership and strategic steering of Microsoft Research's Efficient AI, Agentic Innovation and AIOps groups. The Efficient AI group works on AI efficiency from GPU kernels to context engineering to power Copilot-scale intelligence. He is also an executive sponsor of the Privacy Preserving Machine Learning Innovation group.

Career

  1. NowMicrosoftTechnical Fellow
  2. NowMicrosoft ResearchLeadership and Strategic Steering

Sources and credits

Photo: We have no published photo of Jim Kleewein yet. Send us a free-licensed photo.

  1. Jim Kleewein - CloudIntelligence 2021 conf.researchr.org. Checked 20 October 2026.
  2. Keynote: Unlocking exabytes of training data through privacy preserving machine learning - Microsoft Research microsoft.com. Checked 20 October 2026.
  3. Panel: Cloud Intelligence/AIOps across academia and industry - Microsoft Research microsoft.com. Checked 20 October 2026.
  4. Privacy Preserving Machine Learning: Maintaining confidentiality and preserving trust - Microsoft Research microsoft.com. Checked 20 October 2026.
  5. Towards Highly Reliable Services with AIOps - Microsoft Research microsoft.com. Checked 20 October 2026.
  6. [2404.19143] Workload Intelligence: Punching Holes Through the Cloud Abstraction arxiv.org. Checked 20 October 2026.
  7. AI chips are getting hotter. A microfluidics breakthrough goes straight to the silicon to cool up to three times better. news.microsoft.com. Checked 20 October 2026.
  8. Microsoft will mainly use its Maia chips for AI inference cnbc.com. Checked 20 October 2026.
  9. Efficient AI - Microsoft Research: People microsoft.com. Checked 20 October 2026.
  10. Agentic Innovation - Microsoft Research: People microsoft.com. Checked 20 October 2026.
  11. AIOps - Microsoft Research: People microsoft.com. Checked 20 October 2026.
  12. Privacy Preserving Machine Learning Innovation - Microsoft Research: People microsoft.com. Checked 20 October 2026.