Daniel C. O'Neill Adjunct Professor

Department of Electrical Engineering
Stanford University


Packard, 350 Serra Mall
Stanford University
Stanford, CA 94305
(650) 575-1367

Research Interests

My work focuses on Generative AI based methods for AI Ops, managing distributed (cloud) software systems in real time, and VAE methods for AI safety with OOD data.

Classes I teach

EE392b Industrial AI
Introductory lecture Introduction to Industrial AI


Ph.D. Electrical Engineering, Stanford University
MBA, UC Berkeley

Work Experience

Previously, I was Partner for AIOps at Microsoft, President and CEO of Clearwater Networks, Sr. Director at Texas Instruments, and Sr. Director at SUN Microsystems.


Wireless Network Utility Maximization (DARPA)
Complex Network Information Exchange (AFOSR)
Limits on Flow of Information and Dependence in Networks (AFOSR)
Distribution Automation using Big Data (General Electric)
Energy Management Systems (EMS) for Demand Response (General Electric)
Gridspice: A Virtual Platform for Modeling, Analysis, and Optimization of the SMART GRID (TomKat)
Team Member
Information Theory for Mobile Ad-hoc Networks, ITMANET (DARPA)
Fundamental Performance Limits in Hybrid Networks under WMD Attacks (DTRA)

Advising at Stanford

Co-Advisor Vinay Majjigi PhD 2010 (Globecom 2010 Best Paper Award), Apple
Co-Advisor Mayank Jain PhD 2011, Stealth Startup
Co-Advisor Ekine Akuiyibo PhD 2011, Oracle
Co-Advisor Aakanksha Chowdery 2012, Microsoft
Co-Advisor Zheng Wen 2013
Co-Advisor Trudy Wang 2016
Co-Advisor T Thanchaok 2016

Recent Invited Talks

University of Illinois at Urbana Champaign
University of California, Los Angeles
University of California, Davis
Santa Clara University
Naval Post Graduate School, Monterey