I'm a PhD candidate at UCL's Spiers Lab, studying how the places we build shape the way we think and feel.
Alongside this, I teach data science as a freelancer: bootcamps and corporate workshops across Europe and the US.
experience
studying how environmental design shapes cognition, memory, and well-being. goal: evidence-based frameworks for better cities.
PI: Hugo Spiers
bootcamps and corporate workshops across France, Europe, and the US. 100+ students, 250h instruction, 750h supervision.
led hydrogen energy integration research for French Polynesia. built simulation tools for EV fleets and hydrogen-powered public transport.
PI: Pascal Ortega
prototyped 5 AI proofs of concept using LangChain. EDA across diverse client datasets, stakeholder reporting.
ML solutions for health research. fine-tuned LLMs for anamnesis classification at 97%+ accuracy, reducing patient triage time.
PI: Emmanuel Lagarde
education
intensive Python for Data Science and AI coding bootcamp. Machine & deep learning, data analysis and visualisation. 360 hours.
thesis title: Why do we find Nature beautiful? A critical literature review on the link between Nature, Aesthetic preference, and Restoration.
Grade: 9/10field internship in primatology, observing wild pig-tailed macaques in their natural habitat (tropical rainforest) during 6 months.
PI: Nadine Ruppert
languages
PhD candidate at UCL's Spiers Lab, investigating how the environments we build shape how we think, feel, and navigate.
themes
our surroundings are not passive backdrops. sensory properties like light, complexity, nature, and scale measurably alter attention, memory, and emotional state.
behavioral and physiological methods to understand how people navigate and represent space. wayfinding, spatial memory, the neural correlates of place.
translate lab findings into principles for architects, planners, and policymakers. better environments through neuroscience, not just aesthetics.
previous
comparative study of virtual environments on neural and physiological correlates. literature reviews on nature, aesthetic preference, and restoration.
PI: Simone Kühn
distinguishing between perceptual and post-perceptual bias in humans.
PI: Simon Van Gaal
Building and teaching data science across bootcamps, corporate workshops, and research environments.
teaching
100+ students. 250h instruction, 750h supervision. full-stack curriculum: Python through deep learning and deployment.
15+ clients, 300h instructed across France, Europe, and the US.
selected projects
fine-tuned language models to classify emergency anamneses. 97%+ accuracy. reduced manual triage time across hospital emergency workflows.
simulation tools for EV fleet demand and hydrogen-powered public transport. kWh optimisation and GHG projection. ANR-financed research.
5 AI PoCs and MVPs using LangChain. EDA across client datasets, stakeholder reporting.