Morgan Stanley
Overview
Morgan Stanley is represented at AI Engineer World's Fair 2026 through the official roster and related scheduled sessions. A known public site was attached for source navigation, but automated metadata extraction was unavailable in this pass (manual_url_unfetched).
Background
The official speaker roster connects Morgan Stanley to Brendan Rappazzo. A manual URL override attaches the public site for source navigation because automated discovery or metadata extraction was inconclusive.
Conference Relevance
Morgan Stanley matters to this wiki through 1 official speaker(s) and 2 scheduled session(s), including: ALPHALAB: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs; Loophole - Adversarial Agents To Stress Test Your Morality.
Conference Sessions
- 2026 07 01 brendan rappazzo alphalab autonomous multi agent research across optimization domains with frontier llms - ALPHALAB: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs (2026-07-01, 10:45am-11:05am)
- 2026 07 01 brendan rappazzo loophole adversarial agents to stress test your morality - Loophole - Adversarial Agents To Stress Test Your Morality (2026-07-01, 1:30pm-1:50pm)
Connections
- brendan rappazzo - Machine Learning Scientist
Sources
Evidence Graph
This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.
Linked Sessions
- ALPHALAB: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs
- Loophole - Adversarial Agents To Stress Test Your Morality
Media Signals
No linked video, transcript, or slide source has been attached yet.
Notes
- Automated company profile fetch status: manual_url_unfetched.
Evidence Boundary
Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.