Tarun Chitra applies Monte Carlo simulations, agent-based modeling, and stress testing from his work as founder/CEO of Gauntlet to evaluate crypto investments at Robot Ventures, giving the fund an unusually quantitative research lab approach compared to typical early-stage funds. He acts as an embedded research partner to technical founders, spending significant time helping portfolio companies think through mechanism design and risk parameters rather than taking a purely board-level role.

• Deep dives into the mathematical, code-level mechanics of decentralized finance protocols, specifically regarding solvency and user fairness. For instance, conducting extensive research on auto-deleveraging algorithms in perpetual exchanges to determine if specific rounding errors favor the exchange over the user.
• Interest in complex trading infrastructure and market microstructure, looking for innovations that improve capital efficiency. A specific example includes analyzing how trading architectures can balance the need for low-latency execution (speed) with high-bandwidth computation without sacrificing the ability to verify the data.
• Strong advocacy for transparency and open-source standards in crypto projects to allow for external auditing. This is highlighted by calls for decentralized exchanges to make their internal logic and liquidation policies public so that claims about performance and safety can be independently verified by researchers.
• Fascination with the intersection of advanced mathematics, cryptography, and artificial intelligence, rather than generic AI hype. This includes observing niche developments such as large language models successfully correcting formal mathematical proofs or drawing parallels between AI behaviors and complex cryptographic concepts like witness encryption.