# Summary

I studied at Girton College, Cambridge from 2015-2018, where I achieved a high 2.i BA Mathematics.

I specialised in statistics, optimisation, information and computability as well as quantum mechanics. These specialisms improved my foundational knowledge for machine learning and AI.

# Notable Achievements

- I held the position of JCR Treasurer, becoming a Girton College trustee, in 2016-2018.

# Courses

## Computational Projects (CATAM)

I completed 8 computational mathematics projects in MATLAB during my undergraduate degree. These were:

- Minimisation Methods (Numerical Optimisation techniques used in Machine Learning)
- Policy Improvement for a Markov Decision Process
- Variable Selection and the Bias-Variance Tradeoff
- Minimisation of Deterministic Finite-state Automata (DFAs)
- Ordinary Differential Equations
- Matrices over Finite Fields
- SchrΓΆdingers Equation
- Simulation of Random Samples from Parametric Distributions

## Third Year

- Applied Probability
- Principles of Statistics
- Optimisation and Control Theory
- Statistical Modelling
- Quantum Information and Computation
- Principles of Quantum Mechanics
- Mathematical Biology
- Graph Theory

## Second Year

- Statistics
- Markov Chains
- Optimisation
- Linear Algebra
- Analysis II
- Complex Analysis & Complex Methods
- Mathematical Methods
- Variational Principles
- Quantum Mechanics
- Electromagnetism
- Fluid Dynamics

## First Year

- Analysis I
- Group Theory
- Differential Equations
- Vectors and Matrices
- Probability
- Numbers and Set Theory
- Dynamics and Relativity
- Vector Calculus