Physics Postgraduate and Computer Science Graduate -Making STEM Clear from First Principles

I hold an undergraduate degree in Computer Science and am currently pursuing a Master’s in Physics. Alongside my academic work, I have professional experience in the tech industry and published research applying computational methods to astronomy. This interdisciplinary background allows me to connect theory and application across the entire STEM spectrum — from the mathematical foundations to real-world technological systems. My teaching style focuses on breaking complex concepts down to their most fundamental elements and rebuilding them step by step. For example, when teaching friction, I explain how electrostatic repulsion between atoms gives rise to the force we experience — and for students who want to explore further, how this connects to the fundamental forces of nature and their force carriers. In mathematics, I often trace ideas back to their axioms, showing how entire branches like algebra or calculus emerge logically from a few basic principles. With a foundation that bridges physics, computer science, and real-world tech, I’m comfortable teaching and supporting learning across a wide range of STEM subjects — helping students see the deep connections that tie everything together.

My teaching philosophy is grounded in clarity, structure, and curiosity. I focus on breaking concepts down to their most fundamental level and building them back up so students develop a true, intuitive understanding. For example, when teaching friction, I go beyond definitions — explaining how electrostatic repulsion between atoms manifests as friction, and for more curious learners, how this connects to fundamental forces and their carrier particles. In mathematics, I often return to the axioms and show how entire systems like algebra or calculus arise logically from those core rules. In practice, I combine standard and effective teaching methodologies such as: Socratic questioning – encouraging students to reason through problems rather than memorize. Scaffolded learning – gradually increasing complexity while reinforcing prior knowledge. Active learning – using examples, analogies, and problem-solving to engage students directly. Conceptual visualization – employing diagrams, simulations, and physical intuition to make abstract ideas tangible. Formative assessment – regularly checking understanding to adapt the pace and depth of lessons. With a foundation that bridges physics, computer science, and real-world tech, I’m comfortable teaching across a wide range of STEM fields — helping students not just learn, but truly understand how everything fits together.