My A-levels are Maths, Further Maths, Physics and Economics

I went to King's College London to study MSci Physics, and most of the modules I picked are related to theoretical physics; thus, they are more mathematically intensive.

I graduated in 2024 and started my PhD in Machine Learning at University College London.

My experience mainly came from helping/teaching my fellow university students, where I would break down a complex topic into more manageable portions.

For example, do you know what eigenvalues and eigenvectors are? Well, you know that most vectors are "changed" (i.e. they point in a different direction) when you apply a matrix to it, but eigenvectors are specific vectors where they are still pointing in the same direction! The only change an eigenvector would experience is that it becomes "larger" or "smaller" or 'unchanged" (i.e. they are multiplied by a scale factor). The name of the thing that makes the eigenvector "larger" or "smaller or "unchanged" is called the eigenvalue.

Why is this important? Many math, physics, and engineering equations can be written as eigenvector and eigenvalue equations, and knowing how to find these values is essential to solving real-world problems.

I hope you learned something new, and if you do select me to help you, I will try my best to inspire you in the beautiful field of mathematics and physics!