Thanasis D had always seen learning as a map—layered, dynamic, and waiting to be explored. His studies in Computer Science and Earth Observation had sparked a lifelong pursuit: to bridge the technical with the human, the satellite with the classroom.

Each morning, he stepped into the American College of Greece not just as a teacher, but as a mentor within the International Baccalaureate (IB) program. His students didn’t just memorize code—they trained AI models, analyzed real-world datasets, and asked big questions. Under his guidance, classrooms transformed into innovation labs.

By afternoon, Thanassis shifted roles, contributing to cutting-edge projects at the National Observatory of Athens. There, amidst servers and satellite feeds, he designed algorithms to predict floods, track wildfires, and model crop growth. His work wasn’t theoretical—it helped shape the response to real disasters across Europe.

Evenings often brought a different challenge: leading software architecture and engineering efforts at OpenGIS, where he helped build and scale QFieldCloud—a platform empowering geospatial scientists and NGOs worldwide. He balanced usability with scientific power, always pushing toward open, accessible Earth Observation tools.

In the summer of 2024, Thanassis co-designed and mentored at the IGARSS Summer School in Athens, welcoming students from around the globe. With warmth and clarity, he taught them how to turn noisy satellite data into environmental insight. His sessions were among the most remembered—where theory met purpose.

Beyond fieldwork and programming, Thanassis was a writer. His research papers explored the intersection of AI and remote sensing, published in reputable journals and presented at international conferences.

But perhaps his most heartfelt work was in education. He organized workshops on AI in Education, helping fellow teachers harness machine learning not as a buzzword, but as a meaningful classroom tool. In spring 2025, he led a school-wide professional development series for the entire American College of Greece, where educators from every department explored what it meant to teach in the age of algorithms.

Some knew him as a scientist, others as a teacher, a mentor, or a developer. But to everyone who crossed his path, Thanasis D was someone who believed in making knowledge practical—and empowering others to do the same.

My tutoring style is structured, supportive and strongly focused on understanding rather than memorisation. I break complex Computer Science concepts into clear, manageable steps and use practical examples, programming exercises and exam-style questions to reinforce learning.

I adapt each lesson to the student’s level, goals and exam specification, with particular emphasis on computational thinking, problem solving and independent reasoning. I also focus on identifying gaps early, building confidence, and developing effective exam technique so that students can apply what they know even when faced with unfamiliar questions.