Greg Vaitsas Profile
Staff profile
I teach modules in computing, with a particular focus on artificial intelligence, data science, and machine learning.
- Tutor in Computing
What do you most enjoy about teaching at Teesside University London?
I’m excited to be part of a newly established campus that builds on the strong academic heritage of Teesside University in Middlesbrough. I enjoy working within a small, dynamic team that embraces modern teaching methodologies and integrates innovative content into the curriculum. The campus offers state-of-the-art facilities that support both students and staff in the delivery of high-quality education.
Being based at Here East in the Olympic Park also adds a unique dimension - it’s an inspiring hub of innovation, surrounded by leading enterprises and institutions in one of East London’s most vibrant locations.
How do your students benefit from your experience?
Students benefit from the breadth of experience I bring across academia, industry, and entrepreneurship. This allows me to enrich my teaching with real-world insights and practical examples that bridge the gap between theory and application - helping students develop the skills and mindset that are highly valued in today’s job market.
Tell us about your career to date
I began my academic journey in physics, earning a BSc from Queen Mary, University of London, followed by a PhD in Experimental Particle Physics at Royal Holloway. I then transitioned into the tech and telecoms industries, working in software development and technical support roles across startups and major corporations.
I founded and ran my own East London-based company focused on the procurement and trade of organic and natural food products from my home country, Greece. This entrepreneurial experience deepened my understanding of business operations and digital commerce.
Driven by a long-standing interest in computing and AI, I returned to academia to complete an MSc in Artificial Intelligence at City St George’s, University of London. My current research interests lie in the reasoning capabilities of large language models (LLMs) and the ethical and safety considerations surrounding AI.
What industry links do you have?
My professional network spans the IT and telecoms sectors, particularly in software development and business intelligence. My entrepreneurial background has also connected me with major platforms, as well as local authorities and government bodies. I remain actively engaged in East London’s vibrant SME ecosystem, which continues to inform and inspire my teaching.
How has your industry experience enhanced your teaching?
My industry experience has shown that deep learning happens when theory meets real-world application. I bring this approach into the classroom, encouraging critical thinking, bold experimentation, and learning through both success and failure.
What has been the highlight of your career so far?
Founding a business in an unfamiliar industry was a challenging yet rewarding journey that taught me resilience, adaptability, and the value of lifelong learning. Watching it grow brought deep fulfilment and a sense of contribution to my community, while also fostering lasting, inspiring professional relationships.
Why should students consider studying this course?
Computer science is one of the most dynamic and impactful fields of our time. With rapid advancements in artificial intelligence, the demand for skilled professionals is growing across virtually every sector. Our course equips students with cutting-edge technical skills and critical thinking abilities that are essential for thriving in today’s digital world - and for shaping the technologies of tomorrow.
What is the best piece of advice you have for your students?
Stay curious. Never stop asking questions, and don’t settle for less than what you’re capable of achieving. The future belongs to those who are adaptable, resilient and committed to continuous learning.