I'm a computer scientist professionally focused on applying machine learning and natural language processing to help accelerate and improve decision making within the domain of early-stage venture capital.
My core technical focus is on deep learning and natural language processing but I'm also passionate about information security, distributed systems, and high-performance computing.
I've spent much of my career focused on operating system security and intrusion detection. While working at Facebook in 2014, I created and open-souced osquery. Osquery has since become a foundational tool in the information security and monitoring industries.
I've been working with distributed data systems and data analytics for my entire career. For the past several years, I've spent most of my professional and scientific effort focusing on deep learning approaches to natural language processing and understanding. I'm especially interested in novel techniques for training deep learning models to perform well within data-constrained domains.
Transformer-based Natural Language Processing
Data-constrained deep learning
Multitask multimodal deep learning
Artificial neural networks as universal function approximators
At Moonfire, we believe that pre-seed and seed capital is underfunded in Europe. Europe captures less than 20% of global VC capital despite representing over 25% of GDP. On top of this, the rate of European Series A investment is increasing faster year over year. At Moonfire, we're helping proliferate a strong pre-seed and seed ecosystem of breakthrough entrepreneurs using software, data, and machine learning.
Machine learning for sourcing, screening, and evaluation
Venture fund modelling, forecasting, and simulation
While I've worked across the entire information security stack, a consistent passion of mine throughout my career has been building systems to generate telemetry and building machine learning systems to find anomalies in that telemetry.
Operating system security and osquery
Detecting intrusions, anomalies, and fraud
Confidentiality, integrity, and authenticity of secure protocols
I've spent a significant majority of my career working on large, stateful, distributed systems in high-throughput production environments. Within the stack, I'm really passionate about coordination and communication protocols, performance (of both systems and engineers), and autonomous infrastructure operations.
Search and recommendation
Consensus and coordination
Given my background working with distributed systems, cryptography, and economics, my personal mental model of blockchains is one of coordinated distributed systems with cryptographic verifiability and economic security.
A consensus and validation approach to blockchain architecture
Solana validator infrastructure and staking tooling
I've been passionately working on open source software for my entire career