He He

I'm interested in mentoring projects related to reward hacking and monitoring (agentic) models that produce long and complex trajectories. Scholar will have freedom to propose projects within this scope. Expect 30-60min 1-1 time on zoom.

Stream overview

I'm interested in mentoring projects related to reward hacking and monitoring (agentic) models that produce long and complex trajectories.

Mentors

He He
New York University
,
Associate Professor
New York City, SF Bay Area
Misalignment Science
AI Control and Monitoring
Capability and Propensity Evaluations
Adversarial Robustness and Safeguards

He He is an associate professor at New York University. She is interested in how large language models work and potential risks of this technology.

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Mentorship style

30min to 1 hour weekly meetings (on zoom) by default for high-level guidance. I'm active on Slack and typically respond within a day for quick questions or conceptual (not code) debugging. Expect async back-and-forth on experiment design and results between meetings. Scholars can also schedule ad-hoc calls if they're stuck or want to brainstorm—just ping me on Slack.

Fellows we are looking for

  • Strong engineering skills and experience in training deep learning models
  • Familiarity with modern large scale RL pipelines (e.g., using frameworks such as verl)

Project selection

Week 1-2: Mentor will provide high level directions or problems to work on, and scholar will have the freedom to propose specific projects and discuss with mentor.

Week 3: Figure out detailed plan of the project.

Streams

The Winter 2027 cohort offers a wide range of research streams led by experts across AI alignment, interpretability, governance, and safety. Each stream provides its own research agenda, methodology, and mentorship focus.

Grand Rapids
Theory
Agent Foundations
Washington, D.C.
Systems Security
Policy and Governance
Compute Infrastructure, Policy & Governance, Security
London
Theory
Policy and Governance
Dangerous Capability Evals, Compute Infrastructure, Policy & Governance, Strategy & Forecasting
Washington, D.C.
Systems Security
Compute Infrastructure, Security
London
Control, Monitoring
London
Control, Scheming & Deception, Dangerous Capability Evals, Model Organisms, Monitoring
SF Bay Area
Security, Dangerous Capability Evals
SF Bay Area
Dangerous Capability Evals
Boston
Policy and Governance
Adversarial Robustness, Policy & Governance, Red-Teaming, Safeguards
New York City
Control, Scalable Oversight, Red-Teaming, Model Organisms, Monitoring
SF Bay Area
Policy and Governance
Policy & Governance
SF Bay Area
Control, Monitoring, Dangerous Capability Evals
SF Bay Area
Security, Compute Infrastructure
London
Theory
Interpretability
London
Scheming & Deception, Dangerous Capability Evals, Control, Red-Teaming
SF Bay Area
Dangerous Capability Evals, Red-Teaming, Model Organisms, Control, Monitoring
Toronto
Interpretability
London
Control, Monitoring, Safeguards, Dangerous Capability Evals, Scheming & Deception
Chicago
Biorisk, Security, Safeguards
SF Bay Area
Interpretability, Agent Foundations