I joined the Department of Computer and Information Sciences at the University of Strathclyde in August 2025 as a Strathclyde Chancellor’s Fellow in Artificial Intelligence (Lecturer/Assistant Professor), where I lead the Causal AI and Healthcare Lab. My lab bridges fundamental advances in causal AI with real-world healthcare needs, aiming to develop data-driven, equitable, and trustworthy AI systems for personalised healthcare.

Before joining Strathclyde, I was a Postdoctoral Researcher with Professor David A. Clifton at the Computational Health Informatics (CHI) Lab, University of Oxford (February 2022 – July 2025), where my work broadly focused on AI for healthcare. Prior to that, I held a Postdoctoral Researcher position with Professor Alexandra Brintrup at the University of Cambridge, developing machine learning solutions for industrial applications in collaboration with partners such as Boeing and Rolls-Royce. At Cambridge, I received the Institute for Manufacturing Postdoctoral Award for Research Excellence in recognition of the practical impact of my work.

I completed my PhD in Optimisation for Large-Scale Machine Learning at Panjab University, India, supported by the prestigious UGC JRF and SRF Fellowships. I was born and raised in a small village in Hamirpur, Himachal Pradesh, India - an experience that continues to inspire my commitment to developing equitable, accessible, and impactful healthcare solutions through AI.

My research focuses on Causal AI, situated at the intersection of causality, healthcare, and artificial intelligence. I draw on a blend of theory and practice to develop robust methodologies that address real-world healthcare challenges, with a particular emphasis on enabling data-driven personalised treatments that are transparent and impactful. Through interdisciplinary collaborations with clinicians, industry partners, and healthcare providers, my work aims to translate advances in causality and AI into tangible improvements in patient outcomes and healthcare delivery.

Topics of interest include, but are not limited to:

• Personalised treatments and individualised treatment effect estimation
• Causal inference and discovery from observational data at scale
• Counterfactual reasoning for fairness, explainability, and clinical decision support
• Causal foundation models
• Causal digital twins
• Uncertainty quantification and conformal prediction
• Multimodal, federated, and continual learning
• Synthetic data generation, causal benchmarking, and evaluation
• Optimisation methods for causal and AI models
• Domain adaptation and out-of-distribution detection

Professional Service & Leadership

I actively contribute to advancing Causal AI and AI for Healthcare through research leadership, peer review, and editorial service.

• Reviewed over 200 manuscripts for more than 50 international journals and conferences, including ICML and AI in Medicine
• Associate Editor: PLOS Digital Health
• Editorial Board Member: International Journal of Artificial Intelligence in Healthcare
• Guest Editor: Special Issue on Causal AI: Integrating Causality and Machine Learning for Robust Intelligent Systems for the Frontiers in AI, Frontiers in Digital Health and Frontiers in Big Data journals, with full manuscript submissions by 27 February 2026.

Opportunities for Students and Collaborators

I welcome collaborations with academic, clinical (including NHS), and industry partners who share the goal of addressing real-world healthcare challenges with robust and trustworthy AI.

I also invite applications from motivated MSc and PhD students interested in causal AI, personalised treatments, and healthcare applications of machine learning.

A fully funded PhD studentship in Causal AI for Personalised Healthcare is currently available; interested candidates are encouraged to get in touch for an informal discussion.

Professional Memberships

• Association for Computing Machinery (ACM)
• IEEE & IEEE Engineering in Medicine and Biology Society (EMBS)
• EMBS Technical Committee on Biomedical and Health Informatics
• Computer Society of India (Lifetime Member)
• Indian Society for Technical Education (Lifetime Member)