Dan

After spending my 3rd year abroad at the Massachusetts Institute of Technology, I returned to Imperial College London, where I scored in the top 10% of my year cohort and graduated with an MSci in mathematics. Although passionate about pure maths, I developed an interest in information theory and statistics during my year abroad and embarked on a PhD in the Centre for doctoral training in Mathematics of Random systems, where I work on a project at the intersection between pure maths, spatiotemporal statistics and stochastic modelling. In my free time, I like swimming, reading and playing chess.

Tutoring Experience

Throughout time, I developed a collection of well-structured educational resources, aimed at improving both background knowledge and exam-taking skills. I love attempting more demanding questions with my students. This allows me to better understand the student’s background and suggest extra exercises specifically designed to remedy knowledge gaps while minimising the number of required hours. I have an excellent understanding of Mathematics, which allows me to draw connections between fields and explain complicated concepts in simple terms. I am positive this is the key factor that helps me to instil a sense of confidence in my tutees, despite tackling difficult questions. I have extensive experience teaching in remedial situations too, with excellent results. I am most proud of bringing a secondary school student from failing to the top 3 in his school in under 6 months. I quickly adapt to the student’s style and match individual needs. I strongly believe teaching should be a guided self-education process and think that one of the best ways to tutor (especially in an online environment) is to concentrate on homework exercises. The student has time to attempt the questions in their own time, at their own pace; thus, we can get the most out of the session by mainly discussing questions that the student has had difficulty solving.