Hello! My name is Mike Arpaia 👋

I'm a computer scientist working on machine learning and data infrastructure. I've been building large-scale, high-performance data and machine learning systems for 15 years, with a specific focus on deep learning research and engineering for the last 8 years. I'm especially interested in the application of machine learning to scientific and engineering problems, particularly for accelerating mathematics research and for automating the design and validation of genetic circuits.

I work at Moonfire, an early-stage venture capital firm that uses software, data, and machine learning to optimize and accelerate every aspect of the venture capital lifecycle. At Moonfire, I lead technical strategy, building decision-support systems that combine data, computation, and human expertise to improve the accuracy, efficiency, and consistency of venture decisions. I also lead our internal research group, which focuses on exploring the mathematical foundations of the venture capital asset class.

While working at Facebook in 2014, I created and open-sourced osquery, which is now a foundational tool in the cybersecurity industry. Osquery is used by thousands of companies around the world to detect and respond to security threats, data breaches, and other critical incidents.

I also co-founded Kolide, served as an AI Advisor to the UK Government Office for Science, and have been a guest lecturer at ETH, LBS, and UCL.

Outside of work, I spend time in the mountains with my family and continue to develop long-standing interests in wilderness medicine and avalanche operations.