I’m originally from the southern part of India, where I completed my Bachelor’s in Computer Science. Two years ago, I moved to the UK to pursue my Master’s in Applied Statistical Modelling and Health Informatics at King’s College London. I began working as a research associate during my master’s program, diving into hands-on projects that combined AI with real-world healthcare data. It was then that I realised I wanted to pursue a PhD in AI for healthcare. Under the supervision of Dr Zina Ibrahim, my project, “From Multimodality to Insight: Beyond GenAI in Medicine,” explores neurosymbolic AI approaches on brain imaging data, combining neural architectures for pattern recognition (e.g., CNNs on MRI scans) with logical reasoning to integrate medical guidelines and constraints. This novel hybrid approach aims to boost interpretability and enforce clinical rules by extracting domain knowledge from knowledge graphs and unstructured medical and scientific research papers.

Research interests

Neurosymbolic AI, Knowledge Graphs, multimodal data fusion (EHRs, imaging, time-series), generative AI (LLMs, Graph RAGs), time-series imputation, explainable AI

Hobbies and Interests

Bingewatching shows and movies, Swimming, Running and listening to music