Jasmine Sekou

I hold a BSc in Physics with Medical Physics from University College London, where I developed an interest in applying computational methods to physical systems.

My undergraduate work involved implementing machine learning models in Python for dynamical systems, including the double pendulum, using frameworks such as TensorFlow and Keras.

Additionally, I completed a research project applying statistical modelling to protein sequence data related to missense mutations in Fabry disease to investigate their clinical impact.

I am developing technical skills in networking, security, and cloud computing through independent study, with a focus on reliable computational workflows.

Alongside this, I work as a tutor and participate in volunteering activities, supporting students in building confidence and engagement with STEM subjects and making complex material more accessible.