
Bio
Tobin is a researcher at MIT and Stanford, focused on building more robust societal and digital infrastructure for the AI age, with work across privacy, human-centered control, verifiability, and regulatory compliance for AI. Tobin's PhD at MIT was advised by Sandy Pentland at the MIT Media Lab and was fully funded by a Fulbright Future Scholarship. Tobin has a broad research background ranging from confidential and verifiable AI tooling to regulatory contributions to privacy in the future of AI.
Research I Want to Mentor
Area: Building better digital infrastructure to create a safe and effective rollout of AI across the economy
- Tools for understanding delegation risks and harm mitigation tools for autonomous AI agents.
- Confidentiality, privacy, or verifiability infrastructure for AI and agent deployments.
- Tools for concrete and reliable (and verifiable) supply chain management for AI and data.
- Other infrastructure and governance tools for AI.
What I'm Looking for in a Mentee
Someone who is willing to explore new ideas and collaborate diversely. Mentee will likely have a chance to have a physical presence at Stanford or MIT, and meet with a range of collaborators.
Mentored research
View All Research1 Dec 2025
Beyond Vibe Decision Theory: Asymmetric Manipulation Vulnerabilities in LLM Multi-Agent Coordination
Researcher: Sukanya Krishna
Mentor: Tobin South
Technical AI Safety
26 Jul 2025
Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
Researcher: Nicola Croce
Mentor: Tobin South
Technical AI Safety