Carnegie Mellon Names Jason Brown to Lead Software Engineering Institute

Nov 2, 2026
Jason Brown will become director and CEO of Carnegie Mellon University's Software Engineering Institute on November 16, overseeing its software, AI and cybersecurity research.

Carnegie Mellon University names Jason M. Brown director and CEO of its Software Engineering Institute, effective 16 November, the university said in a press release. The institute is a federally funded research and development center sponsored by the US Department of War.

Brown will oversee the institute's research, engineering and technology transition work in software, artificial intelligence and cybersecurity. He will also set its strategy and represent it to federal sponsors and partners.

Brown currently leads government operations at Applied Intuition and previously led Google's professional services business for defense. He also held senior US Air Force roles, founded the Air Force Artificial Intelligence Accelerator at MIT and was a founding member of the Department of Defense's Joint Artificial Intelligence Center.

Brown succeeds Paul Nielsen, who became the institute's director and CEO in 2004. Nielsen will remain involved during the leadership transition.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Defense AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Defense AI Brief

Your weekly intelligence briefing on the technology shaping modern warfare and national security.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.