Helen Spearing is a distinguished Senior Research Fellow at the Nuffield Department of Primary Care Health Sciences, University of Oxford. Her expertise lies at the intersection of health data science, machine learning, and artificial intelligence, with a strong focus on their application to electronic health records (EHRs) and real-world evidence. Dr. Spearing's research aims to improve patient care and outcomes by developing and applying advanced computational methods to large-scale healthcare datasets. She is involved in investigating disease patterns, predicting patient risk, optimizing treatment pathways, and enhancing clinical decision support systems. Her work often involves collaboration with clinicians, epidemiologists, and computer scientists to address complex challenges in modern medicine and public health. She is also committed to the ethical considerations and responsible implementation of AI in healthcare.
Helen Spearing's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led and contributed to significant research projects utilizing machine learning and AI on large-scale electronic health records to derive novel insights for disease understanding, prediction, and management.
Successfully developed and validated predictive models for various health outcomes, contributing to early risk identification and personalized medicine approaches within the UK healthcare system.
Instrumental in securing substantial research grants from prestigious funding bodies (e.g., NIHR, UKRI) to support innovative work in AI and health data analytics.
Authored and co-authored numerous peer-reviewed publications in leading academic journals, disseminating key findings in health informatics, AI in medicine, and epidemiology.
Actively mentors and supervises DPhil students and junior researchers, fostering the next generation of talent in health data science and AI applications in medicine.
Contributes to discussions and frameworks regarding the ethical deployment and governance of AI tools in clinical settings, emphasizing fairness, transparency, and patient safety.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Tialis Essential IT delivers a comprehensive suite of IT services, including managed IT, cloud solutions, cybersecurity, and digital transformation. Formed in 2022 from the merger of established IT providers Selection and SICL, Tialis focuses on providing resilient, secure, and scalable IT infrastructure and support to help UK businesses thrive in the digital age. They emphasize a customer-centric approach to solve complex IT challenges and enable business growth through technology.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.