AI Research Engineer exploring multimodal learning, autonomous AI systems, and neuro-symbolic reasoning to understand how intelligent systems should perceive, represent, reason, and interact with the world.
Exploring thought as the next natural interface between humans and machines through non-invasive brain-computer interfaces.
Investigating how intelligent systems can continuously acquire knowledge while remaining transparent, reproducible, and trustworthy.
Designing AI systems capable of learning unfamiliar scientific domains and autonomously constructing engineering and analytical workflows.
Representative engineering systems spanning multimodal learning, autonomous reasoning, neuro-symbolic AI, and embedded systems.
The most elegant systems emerge not from adding complexity but from discovering the principles that make complexity unnecessary. My research explores intelligence through engineering—from brain-computer interfaces to neuro-symbolic reasoning—with the goal of building systems that are simple because they are fundamentally understood.