Jules Padova
AI researcher and builder focused on neurotechnology, neural decoding, and human-centered AI — interested in intelligence as both a technical and a philosophical problem.
I study how intelligence emerges in brains, how it can be modelled in machines, and how AI systems can help humans understand themselves better. My current work focuses on applied AI research for neurotechnology — especially neural decoding: turning signals from the brain into meaningful computational representations.
In parallel, I co-founded mirai, a startup developing AI-assisted psychological orientation tools for teenagers and young adults. Before this, I worked on AI developer strategy, technical writing, and tooling at CLIKA, an AI model-quantization company, where I got close to the infrastructure side of efficient inference and deployment.
My long-term interest is the interface between human cognition and machine intelligence: how we can decode, model, support, and extend human thought using careful, responsible AI. I also write on AI, neurotechnology, cognition, philosophy of science, and the future of human–machine interfaces — some pieces technical, others broader reflections on intelligence and human flourishing.
Education
I am completing a BSc in Artificial Intelligence at Vrije Universiteit Amsterdam, combining machine learning, programming, mathematical foundations, knowledge representation, cognitive science, and human-centered AI.
I also followed the Brain & Mind minor — cognitive neuroscience, neurodevelopment, brain disorders, and the relationship between mind, brain, and machine intelligence — and completed additional extracurricular coursework in epistemology.