I am currently a Postdoctoral Research Fellow working with Prof. Rebecca Walwyn at the Leeds Institute for Clinical Trial Research, University of Leeds, UK. Before joining the University of Leeds, I completed my PhD in the Department of Mathematics at the Indian Institute of Technology Hyderabad (IIT Hyderabad), where I was jointly supervised by Dr. Satya Prakash Singh (IIT Kanpur) and Prof. Balasubramaniam Jayaram (IIT Hyderabad).

I work in fields related to the methodological and practical aspects of Design of Experiments (DoE). My research directions include the following.

1. Design of Complex Intervention Trials 

I am currently focused on developing design and randomisation strategies for complex trials in health and social care research, particularly trials evaluating practitioner-delivered interventions. A key aim of this work is to bridge ideas from classical DoE, originally developed largely in agricultural research, with modern model-based approaches used in complex healthcare trials. In particular, I am interested in incorporating complex correlation structures and practical constraints into the design and analysis of such trials, leading to designs that are both statistically efficient and practically implementable.

I am also interested in optimal designs for completely randomised trials, group-intervention trials, and cluster-randomised trials.

2. Optimal Designs for Multiple Comparisons 

Building on my PhD research, I am interested in optimal designs for multiple comparison problems and ordered experiments. One of my key areas of work involves developing power-efficient max–min designs for multiple comparison problems using novel game-theoretic approaches. These designs aim to provide robust power across a range of possible parameter configurations and can substantially outperform traditional designs under worst-case parameter scenarios.

3. Distance-Based Methods for High-Dimensional Data

In addition, I have worked on distance-related problems arising in similarity search algorithms and high-dimensional data analysis. I remain interested in developing and understanding the properties of distance measures, particularly their role in computational efficiency and statistical performance in high-dimensional settings.