Jules Padova Expanding human intelligence — building the interface between mind and machine.
AI research engineer working in neurotechnology and human-centered AI — at the boundary between neural data, cognition, and the systems that help people think.
I work on AI and neurotechnology because intelligence and time are the real bottlenecks on the problems we can solve. The ones that matter most — in science, in health, in our daily lives — are limited less by effort than by how well, and how long, we can think about them.
I want to widen that limit. I imagine a world where people and machines reason together, each fueling the other — letting humans spend more time on the problems that matter most, while keeping time for what matters most in their lives.
Getting there demands far better interfaces between mind and machine than the ones we have today. That is what fuels my work in neurotechnology.
Neurotechnology
Applied AI for neural decoding — turning signals from the brain into meaningful representations, the groundwork for richer interfaces between human and machine thought.
Human-centered AI
Systems that help people understand themselves and find direction — starting with psychological orientation for younger people. Technology should expand meaning, not just output.
Writing
Essays on neurotechnology, cognition, and the long-term relationship between human and machine intelligence — thinking out loud about where this is going.
Decoding signal from the brain, and helping people read themselves.
I do applied AI research in neurotechnology — neural decoding, turning signals from the brain into representations machines can use. In parallel, I co-founded mirai, an AI-assisted psychological orientation platform for teenagers and young adults. My long-term interest is the interface between human cognition and machine intelligence: how we decode, model, and extend human thought with careful, responsible systems.