Meet the team

HEALTH DATA INSTITUTE

William Flannery
Clinical Director

I am a Consultant ENT Surgeon specialising in paediatrics. I have served as Deputy Chief Clinical Information Officer since 2020. I have been closely involved in the Trust’s data and digital programme since the Electronic Patient Record went live in 2017. I am a founder member of the Health Data Institute (HDI), which provides the organisational and governance framework for our local Secure Data Environment. The Institute promotes data and digital awareness across the Trust and supports both internal and external research and innovation in Health AI.

I was appointed Clinical Director of the HDI in March 2024. My responsibilities include oversight of regulatory and legal compliance, ethics and consent relating to the use of retrospective health data, and the development of relationships with external academic, NHS and industry partners. I also chair the HDI Steering Group, which forms part of the Trust’s Data Access Committee governance structure. From 2022 to 2025, I was a Visiting Fellow in Computer Science at the University of Reading. I co-founded the Clinical Data Science Research Group whose core operating model was pairing clinicians with academics to produce leading edge, health data science solutions to improve patient care, patient safety and address health inequalities. This operating model has been adopted by the HDI.

Mayoor Dhokia
Head of Data Science & Advanced Analytics

I am the Head of Data Science and Advanced Analytics at Royal Berkshire NHS Foundation Trust, where I lead the Health Data Institute’s work to advance the responsible use of data, artificial intelligence and innovation across healthcare.

With a PhD and a background spanning healthcare, research and management consulting, I provide strategic leadership across AI and advanced analytics, bringing together clinical, technical, academic and industry expertise to address complex healthcare challenges.

My focus is on translating emerging technologies and health data into measurable improvements in patient care, operational performance and clinical decision-making, while establishing the governance, partnerships and capabilities required to operationalise AI safely and responsibly at scale.

Through the Health Data Institute, I am helping build a sustainable model for healthcare innovation—bridging research and real-world implementation and strengthening the Trust’s position as a leader in data-driven healthcare.

Arjit Shukla
Lead Data Scientist

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Sruthy Benny
Arcturis Clinical Data Engineer

I am the Arcturis Clinical Data Engineer at Royal Berkshire NHS Foundation Trust, where I work on developing high-quality healthcare data solutions, building data pipelines across multiple clinical and operational sources, and creating unified data models to support machine learning, clinical research, and advanced analytics.

With a background in Computer Science Engineering and a Master’s degree in Data Science, alongside professional experience across the financial, consultancy and healthcare sectors, I bring a combination of software engineering, data engineering and analytical expertise to complex healthcare challenges. I work closely with Arcturis, providing curated datasets from multiple Trust data sources to support research activities related to pharmaceutical drug development.

My focus is on improving the quality, accessibility and reliability of healthcare data, while building scalable and efficient data infrastructure that can support research, innovation, and clinical decision-making.

With strong expertise in Python, SQL and cloud technologies, I apply modern data engineering practices to streamline data pipelines, improve system efficiency and create robust foundations for healthcare innovation. My work brings together technical and data science expertise to help transform complex healthcare data into reliable, actionable resources that can contribute to improved patient care and outcomes.