I build systems that verify what’s true in the real world. My work bridges the gap between digital systems and physical infrastructure—making location, activity, and presence verifiable, secure, and programmable.
I co-founded Witness Chain to push the boundaries of how systems interact with the physical world. Before that, I spent years researching scalable, secure consensus systems across UIUC and Princeton University, focused on solving the so-called “blockchain trilemma.” I help teams build robust systems that are grounded in real-world constraints. I operate at the edge of research, engineering, and strategy.
Roles
I’ve worked across research, entrepreneurship, and technical advisory roles. I co-founded and serve as CEO of Witness Chain, leading efforts to bridge digital systems with real-world verification. I’ve advised multiple early-stage teams on system design and strategy. After my PhD, I was a Guest Lecturer at Princeton University, where I taught topics of Decentralized Finance.
Research Focus
My work explores how digital systems can reliably interface with the physical world. This spans infrastructure, intelligence, and incentive design across the following areas:
- Consensus protocols for reaching agreement on physical state
- Vision-language models (VLMs) for task planning in operations and robotics
- Design of robust financial instruments tied to real-world dynamics
Selected Publications
BFT-PoLoc: A Byzantine Fortified Trigonometric Proof of Location Protocol using Internet Delays
A novel protocol for secure geographic location verification in distributed systems. The only protocol at its time to provide spoofing-resistant location.
ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance
A novel approach to market making in decentralized finance that optimizes trading strategies using data-driven methods.
Free2Shard: Adversary-resistant distributed resource allocation for blockchains
A novel sharding approach for blockchain systems that provides resilience against adaptive adversaries with information theoretic proofs.