Taran Rai

I do AI/ML engineering and data science things. My work spans computer vision, deep learning, LLMs, and applied AI/ML. I build and validate algorithms for real-world deployment, and I stay close to the cutting edge of what's happening in AI.

A lot of my research has been in computational pathology and the health domains (both animal and human), but I've also worked across social media listening with pharma companies, wearable tech and sensor-based systems through the vHive Animal Health Incubator, and I'm interested in the human-technology interaction side of AI. My experience spans niche startups through to larger multinational organisations.

I guest lecture for AI and AI Programming at the University of Surrey, introducing neural networks.

I hold a PhD in AI/ML for digital pathology (deep learning + computer vision for grading in canine sarcoma biopsy images), an MSc in Data Science from City, University of London, and a BA (Dual Hons) in Economics and Finance from Keele University.

My interests are shaped by personal experiences. I choose to work on projects that genuinely matter to me.

Full list available on Google Scholar.

My takes on AI/ML and technology. Sometimes other things I find interesting.

Open to interesting work, collaborations, and conversations.