I am a multidisciplinary researcher with a diverse background in Biology, Computing and Maths. I am experienced in teaching children of all ages and bringing out the fun in learning.

Expertise in Biology, Physics, Chemistry, and Natural Sciences: Throughout my academic trajectory I have been exposed to the various disciplines in science, including Biology at Bachelors level, Computational Medicine during my MRes in Drug Design, and proposed work with physics models and language models like GPT-3 for advances simulations for my PhD. Advanced Mathematical Skills: I have developed proficiency in Mathematics, with initial grounding from studying Maths and Further Maths at A-Level achieving an A. Independently, I have completed courses and achieved certifications in areas such as Bayesian Statistics and Ordinary Differential Equations, strengthening my knowledge and skills in this field. Proficiency in Programming and Data Analysis: My professional experience as a Data Scientist in leading industries such as GlaxoSmithKline and Silver Birch Finance has equipped me with this skill. Throughout these roles, I have utilised Python, R, Linux, and other statistical libraries. I have completed courses that incorporate and develop these programming and data analysis skills, to name a few, Data Structures in R, Linear Algebra for Data Science in R, Inferential Statistical Analysis with Python, and Intermediate Regression in R.