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
  • Schrödingers 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