I'm a computer scientist professionally focused on applying machine learning for natural language to early-stage venture capital in Europe.
My core research focus is on deep learning and natural language processing with a focus on minority languages and multilingual transfer.
My research interests also include computational linguistics, sociolinguistics, distributed systems, snow science, and meteorology.
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.
Deep learning for natural language processing
Multi-task deep learning
Multi-modal training and inference
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
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 Byzantine fault tolerant 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
A significant portion of my career has been spent focused on cryptography, secure protocols, and using data analytics and machine learning to detect and respond to compromise and fraud at scale.
Operating system security and osquery
Detecting intrusions, anomalies, and fraud
Confidentiality, integrity, and authenticity of secure protocols