Professional service

Executive AI forums, peer review, and community service.

Selected professional service at the intersection of agentic AI, healthcare, data systems, and governed autonomous systems.

Executive forums

Executive AI roundtables

Agent identity, agent development, and governed autonomy

I participate in executive roundtables focused on agent identity, agent development, enterprise AI adoption, governance, and operating models for autonomous systems.

Senior Executive AI Think Tank

Enterprise AI strategy and operational deployment

I contribute perspectives on enterprise AI strategy, adoption, governance, and operational deployment as part of an expert community for senior AI and technology leaders.

Peer review

I serve as a peer reviewer across major conferences and workshops in AI, machine learning, healthcare, data systems, and applied ML, including RSMBD Main Conference, MLCCIM Main Conference, ICML AWILD Workshop, COLM Re-Data Workshop, COLM DAIH Workshop, ISPOR, and Fast Machine Learning for Science Conference 2026.

The review work reflects a production-minded perspective: technical rigor matters, but so do evaluation design, responsible deployment, reliability, governance, and practical relevance in real systems.

Service themes

  • Agent identity and agent development
  • Autonomous and agentic AI systems
  • Enterprise AI governance and operating models
  • AI safety, monitorability, and observability
  • Language-model data quality and reuse
  • Healthcare outcomes and applied evidence
  • Human oversight and regulated deployment
  • Fast machine learning for science and systems

Context

Why this service matters

My service work sits close to the questions enterprises now face in production AI: how agents are identified, governed, evaluated, monitored, and improved while remaining accountable to human and organizational controls.