My Work
A selection of my work, from core research projects to applied machine learning experiments.
Core Research
Scarcity: A Framework for ML under Constraints
A core research project on developing machine learning systems that are resilient to data scarcity, noisy signals, and other real-world limitations. The goal is to create more robust and efficient models.
View Project →Applied ML
Federated Learning for Economic Simulation
An ongoing experiment in using federated learning to build economic models without centralizing sensitive financial data. This project explores privacy-preserving machine learning in the finance sector.
View Project →AI Systems
Autonomous Agent Architectures
An exploration into the design and implementation of autonomous agents for complex tasks. This works reviews current literature and proposes a flexible architecture for agent-based systems.
View Project →