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Data Science Revolution

The Siebel School of Computing and Data Science is shaping the future of technology,
business and society—through the power of data.

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Siebel School Experts at Work

Big challenges. Bold solutions. See how our faculty, students and alumni are shaping tomorrow's world.

Thomas Siebel along with eight Grainger engineers and affiliates elected to National Academy of Engineers

The Grainger College of Engineering

Siebel School News
February 13, 2026

CS student Wei Xiong named Google PhD fellow

The Grainger College of Engineering

Siebel School News
February 13, 2026

CS Alum Pete Koomen is betting on people: A startup founder and investor’s perspective on entrepreneurship

The Grainger College of Engineering

Siebel School News
February 13, 2026

AICE forges ahead with a look back

Siebel School of Computing and Data Science

Siebel School News
February 12, 2026

Pariza Tabriz: Fortifying Google's Chrome Security for 3 Billion Users

Siebel School In the Media
February 12, 2026

From OpenTelemetry to unicorn: CS alumnus Spiros Xanthos' resolve AI’s $125M bet on AI production engineering

Vignesh R

Siebel School In the Media
February 9, 2026

News Notes

- 2/11/2026
  Watch CS professor Ling Ren's a16z crypto talk on the commit latency of Byzantine consensus protocols. He discusses the tight good-case commit latency in various settings, and the concurrent 2-and-3-round design paradigm. a16z crypto is advancing the science and technology of the next generation of the internet.
- 2/10/2026
  Thinking Fast and Correct: Automated Rewriting of Numerical Code through Compiler Augmentation won the CGO 2026 Distinguished Paper Award written by CS professor Billy Moses, Siyuan Brant Qian (CS Ph.D. student), Vimarsh Sathia (CS Ph.D. student), Jan Hückelheim Argonne National Laboratory, Paul Hovland ('97 Ph.D. CS, CSE) Argonne National Laboratory and Ivan R. Ivanov Tokyo Institute of Technology.
  
  The IEEE/ACM International Symposium on Code Generation and Optimization focuses on hardware and software optimization, code generation techniques and related issues.