Sophie C.

Hi! I'm Michael, I am a second year medical student and a Biomedical Sciences graduate. I have previously tutored for Year 1-11. I provide person-centered support in Maths and Sciences focusing on boosting confidence and academic results. Beyond traditional tutoring, my background is a Medical Exam Assistant at Brighton and Sussex Medical School University of Sussex (Sep 2020 – Jul 2023): I earned a Bachelor of Science in Biomedical Sciences. This degree provided me with an in-depth understanding of biological systems and medical research, which I now apply when tutoring complex scientific concepts Harris Academy Battersea (Sep 2018 – Aug 2020): I completed my A-Levels in Biology, Chemistry, and Mathematics. These subjects formed the core of my technical expertise and paved the way for my university studies. Harris Aspire Academy (Sep 2017 – Aug 2018): I achieved 9 GCSEs with grades ranging from 8 to 6. Vocational Training: During this period, I also earned a BTEC Level 2 in Health and Social Care with a Distinction.

I’m a 21 year old dental student studying in Bulgaria. I’ve taught students in the past, mainly during their GCSEs and A Levels, and I’m really excited to start teaching again. I’ve always been passionate about helping others learn because not only does it allow me to support students in building their confidence and understanding but it also strengthens my own knowledge. Outside of teaching, I love baking, painting, and playing sports like badminton :) I attended Nower Hill High School for both GCSEs and A-Levels. For GCSEs I achieved grades 9, 8, 8 in Biology, Chemistry and Maths respectively. For A-levels I achieved grades AAB in Biology, Maths and Chemistry respectively. I am currently studying dental medicine at the Medical University of Sofia.

Hi! I’m Aldrin Morgan, a friendly and experienced math tutor with over 13 years of teaching experience. I help students understand math in a clear, simple, and stress-free approach, focusing on building confidence and strong problem-solving skills. I make learning engaging by using real-life applications, clear step-by-step explanations, and interactive practice. My lessons are supportive, structured, and tailored to each student’s learning style, helping them improve at their own pace. My goal is to make math feel less intimidating and more achievable, while creating a positive learning environment where students feel comfortable by asking questions and celebrating progress. I graduated with a Bachelor of Science in Electronics and Communications Engineering and I am currently pursuing my Masters Degree in Electrical Engineering major in Communications (dissertation left) which gave me a strong foundation in mathematics, logic, and analytical thinking. My academic background, combined with experience in classroom management and student-centered teaching practices, supports my ability to teach complex mathematical concepts in a clear and effective manner, helping students strengthen both their understanding and confidence in math.

I’m a Physics MSci graduate from UCL with a strong background in Maths, Physics, Computer Science, and broader sciences. I teach students from beginner to advanced levels, always adapting lessons to each learner’s pace and goals. My style is clear, supportive, and results-focused: I break down difficult topics into simple steps, build confidence, and help students improve both grades and real understanding. Whether you need help with exam prep, homework, problem-solving, or long-term academic growth, I provide structured, engaging lessons tailored to your needs. I completed an integrated Master’s degree (MSci) in Physics at University College London (UCL), where I built strong expertise across Physics, Mathematics, Computer Science, and data-driven problem solving. During my degree, I studied areas such as quantum mechanics, particle physics, advanced mathematical methods, computational physics, high-performance computing, and machine learning applications in science. My final-year MSci research project focused on quantum computing and AI for scientific data analysis, where I applied quantum autoencoders to anomaly detection problems inspired by high-energy physics datasets. This involved advanced Python programming, model evaluation, data analysis, and scientific reporting. In addition to university-level training, I have years of hands-on experience supporting students in Maths and Science topics, translating complex concepts into clear, structured explanations. My academic path combines rigorous theory, practical computation, and strong communication skills, which allows me to teach effectively across levels—from foundational school content to advanced pre-university material in Maths, Physics, Computer Science, and related sciences.