About Me
Background
I'm an ML & Robotics Engineer with a research background in Reinforcement Learning: I work across both ends of the pipeline, publishing peer-reviewed research and shipping the code that runs it on real robots.
That background comes from a BSc in Computer Engineering and an MSc in Computer Science focused on Reinforcement Learning. I'm currently pursuing a PhD in Reinforcement Learning, deepening my expertise in how agents learn from interaction with their environments.
Research Focus
My research centers on reward signals and their impact over time in reinforcement learning environments. I study how the design and structure of rewards influence agent behavior, learning efficiency, and long-term performance across diverse domains.
Current Research
My latest work is DyLam, presented at AAMAS 2025.
See my full list of publications for more details.