Jonathan Happel

Projects

Research Direction: Hardware-Enabled AI Governance

• Technical Standards: Design a roadmap to facilitate hardware security standards resilient to nation-state adversaries.

• Analog Sensors: Develop machine learning models to classify AI workloads from analog sensor data, such as electromagnetic and power traces.

• Red-Teaming: Evaluate hardware security technologies through hands-on red-teaming and vulnerability analysis.

• Maintenance: Develop methods to verify hardware integrity after physical maintenance without compromising trust.

• Scaling Up: Develop a readiness plan to enable rapid scaling of hardware supply chains in response to sudden demand.

What I'm looking for in a Mentee

You can grasp new technical concepts quickly. Hardware Security for AI is a new cross-disciplinary field, and you feel comfortable learning new concepts within that area.

You may have experience in one or more of the following areas: Hardware Security, Data Centers, Technical Standards, Electronic Engineering, Semiconductor Manufacturing, Information Security, Compute Governance, AI Hardware, Computer Science.

Most importantly, you should be excited to work on these topics, and you're able to manage your time effectively.

Bio

Jonathan is the Founder and CEO of TamperSec, a startup developing physical secure enclosures for AI hardware. He has a decade of experience developing high-reliability medical devices and contributed to the development of risk management standards for the EU AI Act. His background is in mechanical engineering and robotics and he holds four patents.