Jules Padova
AI & Neurotechnology Research · BSc Artificial Intelligence · Co-founder, mirai.
Bachelor's student in Artificial Intelligence at Vrije Universiteit Amsterdam with applied research experience in machine learning, neuroimaging, and cognitive science. I work on neural decoding — turning signals from the brain into meaningful representations — and co-founded mirai, an AI-assisted psychological orientation platform for teenagers and young adults.
BSc Artificial Intelligence — Vrije Universiteit Amsterdam
2023 — present
- Focus: machine learning, cognitive science, knowledge representation, social AI, multi-agent systems, mathematics, programming, and research methods.
- Minor: Brain & Mind — cognitive neuroscience, neurodevelopment, and the relationship between mind, brain, and machine intelligence.
- Bachelor's thesis (in progress): neural decoding from brain signals during visual perception.
Baccalauréat — Lycée Julliot de la Morandière, France
2020 — 2023
- Specialization in mathematics, physics, and computer science.
AI Research Engineer — Neurotechnology (Private Research Lab)
2025 — present
- Applied AI research in neurotechnology — neural decoding, turning signals from the brain into meaningful representations, across fMRI, fNIRS, and EEG.
- Research-pipeline design: data gathering, preprocessing, feature extraction, model development, and reproducible benchmarking on noisy biological data.
- Python · PyTorch · scikit-learn. Part of this work is currently confidential.
Co-founder & AI Engineer — mirai.
2023 — present
- Co-founded an AI-assisted psychological orientation platform (with a psychologist co-founder) helping teenagers and young adults understand their interests and build realistic study and career paths.
- Designed AI workflows for psychological-test interpretation, automated report generation, and guided orientation conversations.
- Built the testing infrastructure end-to-end: backend, PDF reporting, payments, and product iterations for schools and assessment centers.
AI Developer Strategy & Quantization — CLIKA
2023 — 2024
- Developer strategy, technical writing, quantization development work, and LLM-based tooling at an AI model-optimization company.
- Built the developer community and an early LLM chatbot for navigating the company's tools and documentation.
Synthesia — early neuroAI project on neurodegenerative-disease diagnosis
Project
BenchSci — Future of Pharmaceuticals consulting challenge
Finalist · 2022
UN Environment Programme / TKS — air-pollution awareness challenge, Mumbai
2022
The Knowledge Society — emerging-technology & innovation program
2021 — 22
Machine LearningPyTorch, scikit-learn, FastAI, representation learning, classification, domain adaptation, benchmarking.
NeuroimagingfMRI / fNIRS / EEG, signal preprocessing, single-trial estimation, experimental evaluation, statistical interpretation.
SoftwarePython, Flask, SQL, Docker, Git, Linux, RDFLib, OWL / SPARQL.
OtherScientific writing, public speaking, product strategy, interdisciplinary collaboration.
French — native · English — full professional · Spanish — limited working · Chinese — elementary.