I enjoy researching and building things.
I invest in amazing founders who uncover secrets.
Education:
- Double Major in Mathematics and Computer Science at Columbia University, 2017
- Masters in Machine Learning at Columbia University, Computer Science, 2018
- PhD in Computer Science at NYU, 2019-2021 (paused)
Fields and topics that are interesting to me:
- Applications of zk-proofs
- Network States, Permissionless systems
- Privacy tech
- Applications of generative models
- AI-alignment
- Mechanistic Interpretability
- Safe-AGI, Formally Verified Systems
- AI Policy
- Most hard science!