About Taran Rai

Hello world! 🤖

I do AI/ML engineering and data science stuff.

My primary research interests revolve around applied AI/ML in the animal and human health domains. However, I also like to apply AI/ML to other areas like finance and do general data science things. Moreover, I've developed a growing interest in the human-technology interaction aspect of AI/ML, with a deeper focus on human-centric approaches.

I am also an Adjunct (Guest) Lecturer for AI and AI Programming at the University of Surrey, School of Computer Science and Electronic Engineering, covering the topic of neural networks.

With a career spanning over a decade, I have gained extensive experience as an AI/ML Engineer and Data Scientist. I completed my PhD in AI/ML for digital pathology where my research focused on deep learning and computer vision for grading tasks in canine sarcoma biopsy images. I also hold an MSc in Data Science from City, University of London and a BA (Dual Hons) in Economics and Finance from Keele University.

I am fortunate to have the opportunity to do work that lets me engage with various fields. There are plenty of things that I care about and most of my interests have been shaped by my life experiences. Here are some of these interests, though this is by no means an exhaustive list:

🔬 One Health: Most of my research has focused on computational pathology—applying and developing AI/ML models for the veterinary and human healthcare domains.

🌾 Tech for good: Protecting and providing for future generations is something I’ve grown to care about, especially in the context of sustainable farming, planting lots of trees, and AgriTech.

🎗️ Liver health and liver cancer awareness: My father passed away from liver cancer in 2024 and this has had a profound impact on me and my family. I am dedicating a part of my life to raise awareness on liver health. We are now seeking funding for a FibroScan to raise awareness and promote liver health checks in the local community via roadshow events. More details can be found in this blog post .