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Work
- I study how frontier AI models behave under social, emotional, and authority pressure — measuring drift, stability, and deference across labs. My research builds benchmarks for model robustness that labs and policymakers can rely on
- Previously, I scaled ML-driven products at Jet.com (acq. Walmart, $3.3B) and LinkedIn (>$1B ARR), leading commercialization, infrastructure, and evaluation initiatives at scale
- Today, I work independently at the intersection of frontier model evaluation and real-world application — building cross-lab baselines (e.g. GPT-5 vs Claude) and frameworks for understanding how models respond under pressure, and what that means for alignment, safety, and deployment
Personal
- I live in San Francisco
- Writers I admire include Noah Smith, Nick Bostrom, and Immanuel Kant. I enjoy science fiction films which provoke thoughts about the complexities of human life, such as The Three-Body Problem and The Prestige
Interests & Personal Philosophy
- Data: I believe the demand for high-quality training data is underestimated, and we will see the rise of data brokerage markets for AI
- Compute: Compute will drive not only decisions on what should be built, but what actually ships
- AI Research: I follow work on alignment and interpretability research
- Application: I'm tracking how core research labs vs. independent entities will faire in scaling real-world commercial adoption
- Life: I believe that your environment—especially your social and informational networks—shapes who you become more than your conscious choices do. What feels like “intentionality” is often just the emergent effect of subtle, repeated training signals from the people and structures around you