Yonadav Shavit – Personal Homepage

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Personal homepage of Yonadav Shavit, a Harvard CS PhD researcher focused on compute governance — regulating AI development through oversight of specialized chips — a key AI safety and policy topic.

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Summary

This is the personal homepage of Yonadav Shavit, a Harvard CS PhD candidate advised by Cynthia Dwork and Ariel Procaccia. His primary research focus is compute governance: using oversight of AI-specialized hardware as a lever for governing AI development. He previously worked on AI policy at Schmidt Futures.

Key Points

•Yonadav Shavit is a Harvard CS PhD candidate researching compute governance for AI systems.
•His work focuses on governing AI development by regulating the specialized chips used to build AI.
•He has practical AI policy experience from Schmidt Futures (2021-2022).
•He is advised by prominent researchers Cynthia Dwork and Ariel Procaccia.
•The site is no longer actively updated; current work is shared via Twitter.

3 FactBase facts citing this source

Entity	Property	Value	As Of
Yonadav Shavit	Education	PhD Computer Science, Harvard University	—
Yonadav Shavit	Description	Policy staff at OpenAI. PhD in Computer Science from Harvard. Author of 'What does it take to catch a Chinchilla?' (2023), the first major compute monitoring framework proposing on-chip firmware snapshots for international AI governance verification.	Mar 2026
Yonadav Shavit	Employed By	sid_1LcLlMGLbw	2024

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Yonablog? Blognadav? ... Yoblogdav! 
 

 
 

 
 
 
 
 

 

 

 

 

 

 

 
 

 
 
 

 
 
 

 

 

 

 

 
 

 
 You are using an outdated browser. Please upgrade your browser to improve your experience. 
 

 

 
 
 
 
 
 
 

 
 

 
 
 
 

 

 
 
 
 
 
 
 

 
 
 Yonadav Shavit

 
 
 
 Harvard CS PhD researcher looking for the AI policies we’ll need 5 years from now.

 
 
 

 
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 Cambridge, MA, USA 
 

 

 
 
 
 
 
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 I’m a 5th year Computer Science PhD candidate at Harvard’s School of Engineering and Applied Sciences, where I’m advised by Profs. Cynthia Dwork and Ariel Procaccia.

 These days, I mostly think about “compute governance”: how to govern the development of AI systems by focusing on the specialized chips needed to build them.

 I spent 2021-2022 working on AI policy at Schmidt Futures. Before my PhD, I did my BS (‘16) and MEng (‘18) in Computer Science and Electrical Engineering at MIT, where I wrote my thesis on model-based RL. My finest hour at the ‘tvte was when my executive team of Dormitory Council hotshots did what no student government had managed in the history of MIT, finally persuading The Administration to put soap in the bathrooms .

 I no longer update this site – for the latest, you should probably check my Twitter .

Resource ID: kb-442cf010bdcab69d | Stable ID: sid_khubsgaozt