Hello! My name is Taras Lokotko, and I’m currently working as a researcher at Michigan State University. My areas of expertise are physics, mathematics, and programming. Let me briefly tell you about my background and my approach to teaching.

I was born in Ukraine, and at the age of 23, I graduated with a Master’s degree in Nuclear Physics from Kyiv National University. I then moved to France to pursue a second Master’s degree in Nuclear and High Energy Physics. At the end of my studies in France, I was offered a PhD position at the University of Hong Kong.

My PhD research focused on the experimental nuclear physics, and I had the opportunity to take part in several experimental campaigns in Japan and China. Alongside research, I was actively involved in teaching — developing and leading courses in physics and mathematics, as well as mentoring students through private tutorials.

I want to share with you my teaching approach.
Albert Einstein once said, “If you can’t explain it simply, you don’t understand it well enough.” This idea is at the core of my teaching philosophy. Teaching is not only about transmitting knowledge — it’s about sharpening your own understanding by communicating it clearly to others.

I believe a successful learning experience relies on two pillars: hard work and active communication. I encourage students to explore concepts deeply, often pushing their limits to truly understand the logic behind each problem. I also believe in interactive teaching — asking questions, prompting discussion, and guiding students to discover answers themselves. Whether theoretical or experimental, I approach every course with passion and a desire to help students not only learn, but truly understand how our universe works.

Over the years, I’ve helped students prepare successfully for a wide range of exams, including:
* GMAT (Quantitative)
* TSA (Math and Physics)
* ICAS Mathematics
* HKDSE (Math and Physics)
* PISA
* GRE Mathematics

I offer full support and mentoring in the following subjects:
1. Mathematics (all levels)
2. Physics (all levels)
3. Introduction to Programming (C++, Python)
4. Introduction to Machine Learning
5. Advanced STEM topics across math, physics, and computational sciences

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