Charbel C.

I’m a chemistry student who loves literature, music and all things mathematical (especially when combined with physics!) I started tutoring 2 years ago part time while studying at college. My favourite things to do include travelling and playing with my dogs. I’m currently an offer holder at the University of Edinburgh for an integrated masters in Chemistry. Lathom High School - GCSE: English Literature - 9/A* English Language - 8/A* Mathematics - 8/A* Physics - 8/A* History - 8/A* Religious Studies - 8/A* Spanish - 8/A* Chemistry - 7/A Biology - 7/A Runshaw College - A-Levels (predicted): Physics - A* Chemistry - A* Mathematics - A* Firmed offer at the University of Edinburgh - MChem

Hi I'm Charlie. I'm a Master's graduate in Physics and currently undertaking a PhD in Astrophysics while working as a postgraduate teaching assistant. I know through experience how difficult physics and maths can be and am in a position to help students by breaking topics down into manageable components. In summer 2025 I graduated with a first class master's degree in physics with astrophysics and cosmology. I began a PhD in astrophysics in October 2025 and have been working as a teaching assistant since then for varied courses in physics from master's level computer labs to first-year mathematics.

I am a medical student with A*AA at A-level, including an A* in Biology, and top GCSEs (all 9s in triple sciences, Geography, English Language, and RS). With 2 years of tutoring experience, I combine strong subject knowledge with a supportive approach, helping students not only achieve excellent results but also enjoy the learning process and grow in confidence. I attended Townley Grammar School and its Sixth Form, achieving 9999998877 at GCSE, with grade 9s in all Triple Sciences, English Language, Religious Studies, and Geography. At A-level I achieved A*AA in Biology, Chemistry, and Psychology, with an A* in Biology, and I am now studying Medicine at university. Alongside my studies, I have over 2 years’ experience tutoring GCSE English and Maths and mentoring students in Triple Science, supporting them as they prepared for exams. I also led my school’s Science Club, helping to inspire younger students and make science engaging beyond the classroom. In addition, I achieved a Bronze award in the British Biology Olympiad, reflecting both my academic ability and enthusiasm for learning. These experiences have strengthened my subject knowledge and my ability to explain complex ideas clearly, motivate students, and build their confidence.

Hi! I'm Michaelangelos, a mathematics graduate from the University of St Andrews (MMath) and incoming PhD student at the University of Glasgow. I've been tutoring maths for several years, including Higher and National 5, and it's something I genuinely love doing. What I care most about is helping students build real confidence and intuition, not just memorise steps. Maths can feel intimidating, and I get a lot of satisfaction from being the person who helps make it click, whether that's turning anxiety into understanding, or helping a curious student go further than they thought possible. I'm equally excited to work with students who find maths difficult and scary as I am to work with those who want to push themselves and become really strong mathematically. Whatever your starting point, I'll meet you there. I am currently an incoming PhD student at the University of Glasgow, where my research focuses on dissecting neural networks, specifically regarding optimisation and generalisation. Prior to this, I completed an Integrated Master of Mathematics (MMath) at the University of St Andrews. During my time at St Andrews, I was placed on the Dean's List consecutively and achieved first-class averages in my final two years of study. I also spent an exchange year at Western University during the 2024-2025 academic year. My academic background is deeply rooted in advanced mathematics and computational science. My master’s dissertation, which earned a 90% grade and was highly commended for the Duncan Prize, focused on a posteriori methods for error control via the reconstruction technique. My key areas of study have included stochastic dynamics, statistical machine learning, financial mathematics, neural networks, and data analytics consulting. Through these experiences, I have developed strong technical proficiencies in programming languages such as Python, MATLAB, SQL, and R, along with various machine learning frameworks.