Sean Muriithi

UCL Summer School: Attended multiple university-level workshops and lectures, observed world-leading soft-robotics research applied to real rescue scenarios, and practised cross-cultural teamwork, boosting my research literacy and collaborative problem-solving.
CS workshop (MIT): Collaborated with an MIT undergraduate to clean and harmonise global climate datasets, handle missing values and aligned categories, and produce reproducible 2D and 3D Matplotlib visualisations, sharpening my data-analysis and computational-thinking skills.
STEM SMART: Completed core computer-science modules in programming, data structures and algorithms, implementing standard solutions that improved my coding accuracy and problem-solving speed.
M3 Challenge 2024: Built NumPy-based logistic and linear-regression models to produce multi-decade forecasts of housing supply and homelessness, gaining hands-on experience in numerical computing, model selection and optimisation for large datasets.
LSEUPR Essay Competition: Researched and wrote a polished, evidence-based essay on AI regulation and instrumental convergence, strengthening my policy analysis, academic writing and argumentation abilities.