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My goal is to help you excel in IB Mathematics, Computer Science, and Physics, both at SL and HL! As an IB teacher in training, I understand first-hand the subjects' curricula and requirements. But as an IB graduate myself, I understand the daily experience of being a student of the most challenging high school program out there: sweeping through pages of literature, missing out weekends with friends, and integrating functions in my sleep. But I also remember all the dreams I had as a teenager, and how I pushed myself day by day to get a score that would make those dreams come true. A few years later, here I am. After graduating in Computer Science from the University of Luxembourg, and I am finally ready and happy to support your own learning and dreams! For over two years, I've been tutoring students at international schools in Luxembourg. This experience has not only deepened my understanding of the IB but also introduced me to other curricula like the European Baccalaureate and the GCSE. The IB approach is known for being extremely challenging on more than the academic level, so sometimes we might need to try a few creative strategies and tricks that I used — like memorising trigonometric values by drawing funny images on your hands, reciting verses about sad turtles, or using colourful pens to sketch images that help you remember ideas. These might seem a bit unusual, but they've proven to work wonders! I’m available for tutoring both online with flexible scheduling options to accommodate your studies without adding stress. I use HD videocamera, interactive writing tools, AI diagnosis, and the latest materials to tailor this class exactly for you. Moreover, I have also helped my students deliver IA projects that got them A and B grades.

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21Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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12Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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5Students

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver. In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition. I teach: • 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use. • 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners. • ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual. As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization. Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

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6Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.