Staff Profile
Dr Tariq Alsafi
Lecturer in Data Science
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I am a Lecturer in Computer and Data Science at York St John University, London Campus, and a Fellow of the Higher Education Academy (FHEA). I hold a PhD in Management Information Systems from Cranfield University, and Bachelor’s and Master’s degrees in Computer Science from the University of Hertfordshire.
My work focuses on digital transformation, cloud computing adoption in small and medium-sized businesses, artificial intelligence in organisations, and data-driven decision making. I take an interdisciplinary approach that connects computing, data science, and business technology to real-world challenges.
Alongside my academic work in the UK, I have contributed to digital transformation and technology adoption projects in the Middle East, particularly in Saudi Arabia. These experiences shape my teaching, which is practical, inclusive, and closely linked to industry needs. I aim to help postgraduate students build the technical, analytical, and strategic skills required for careers in data science, cybersecurity, and digital innovation.
- School – London
- Email – t.alsafi@yorksj.ac.uk
Further information
Teaching
I teach postgraduate and undergraduate modules in computer and data science, digital business, and emerging technologies. My teaching focuses on helping students apply technical knowledge to real organisational and industry contexts, particularly in data visualisation, cybersecurity, artificial intelligence, and digital transformation.
I design learning activities that are practical and career-focused, including live industry projects, applied case studies, and the use of contemporary digital and analytical tools. I aim to create an inclusive learning environment where students from different academic and professional backgrounds can build confidence in technical, analytical, and problem-solving skills.
I support students through supervision, detailed feedback, and academic skills development, helping them progress successfully through their studies and prepare for professional roles in data science and digital innovation.
Research
My research focuses on digital transformation, cloud computing adoption in small and medium-sized enterprises, and the organisational use of emerging technologies such as artificial intelligence and data analytics. My doctoral work developed a framework to support cloud adoption in SMEs, and my subsequent publications explore barriers to technology adoption, digital readiness, and the relationship between technological innovation and business performance.
I am particularly interested in applied, industry-relevant research that connects technical innovation with real organisational challenges. This includes collaborative and practice-based work linked to digital transformation initiatives in the Middle East, especially in Saudi Arabia. My current research direction continues to explore AI-enabled decision making, data-driven business models, and the role of digital technologies in supporting sustainable and inclusive economic development.
Professional activities
I engage in professional activities that connect academic research, teaching, and industry practice. This includes collaboration with small and medium-sized enterprises on digital transformation, cloud adoption, and the organisational use of emerging technologies such as artificial intelligence and data analytics. Alongside my academic role, I contribute to product innovation and digital transformation initiatives through my work with a cloud-based HR technology platform supporting SMEs across the UK, Europe, and the Middle East.
I have also been involved in applied projects and knowledge exchange activities in both the UK and the Middle East, particularly in Saudi Arabia, supporting organisations in understanding technology readiness and digital innovation. In addition, I contribute to curriculum development, live industry-based student learning, and academic knowledge exchange through conferences, professional networks, and collaborative initiatives, ensuring that my teaching and research remain closely aligned with current professional practice and evolving technological trends.
