Profile

I am a PhD researcher in Entrepreneurship and Innovation at Newcastle University Business School. My academic background combines:

• business and innovation studies
• computer science
• mathematics

This has shaped my interest in entrepreneurship research, university entrepreneurial ecosystems, computational text analysis, and data-informed research design. 

My doctoral work applies Python-supported text mining and topic modelling to examine the structure and development of entrepreneurship knowledge across large-scale academic corpora.

In particular, I use a hybrid computational text-analysis design combining unsupervised LDA topic modelling and semi-supervised BERTopic to study immigrant graduate entrepreneurship within the broader fields of immigrant entrepreneurship and graduate entrepreneurship. 

Before starting my PhD, I gained professional consulting experience at PwC and entrepreneurial experience in developing a technology-enabled local services platform for immigrant communities. These experiences have informed my practical understanding of digital products, business processes, stakeholder engagement, and technology-driven entrepreneurial activity. 

Research interests 

My research interests sit at the intersection of immigrant entrepreneurship, student and graduate entrepreneurship, university entrepreneurial ecosystems, and computational social science. 

Substantively, my research examines how higher education institutions, university entrepreneurial ecosystems, and wider institutional contexts shape the entrepreneurial opportunities, constraints, and pathways of international students and immigrant graduates. I am particularly interested in how education, migration status, post-study transition, labour-market positioning, and local embeddedness interact in shaping entrepreneurial pathways and outcomes. 

Methodologically, I am interested in Python-based text mining, LDA topic modelling, BERTopic, corpus construction, model validation, human-guided topic interpretation, and machine-assisted knowledge mapping. My work explores how computational text analysis can be used to identify latent thematic structures, trace field-level knowledge development, and support transparent, scalable, and theory-sensitive approaches to entrepreneurship and innovation research. 

My previous research assistance work at Newcastle University Business School has also developed my interest in rural entrepreneurship, rural entrepreneurial ecosystems, regional development, and policy contexts.