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Staff Profile

Dr Jingky Lozano-Kuehne

Lecturer in Biostatistics

  • Email: jingky.lozano-kuehne@ncl.ac.uk
  • Address: Biostatistics Research Group
    Population Health Sciences Institute
    Faculty of Medical Sciences
    4th Floor Ridley Building 1
    Queen Victoria Road, Newcastle upon Tyne NE1 7RU, UK
Background

I am a biostatistician and epidemiologist with extensive experience in health and medical research across academic and industry settings. I have designed and implemented health studies, analysed clinical trials and conducted training courses in statistical analysis and research methods for government institutions, pharmaceutical companies and international organizations. I have held research and academic positions at leading universities worldwide contributing to big data analytics in genetic studies and experimental data analysis at the Georg-August-Universität Göttingen, Germany. Additionally, I worked as a Senior Researcher at the Health Economics Research Centre, University of Oxford and as a Senior Research Fellow at the Cancer Clinical Trials Section, Imperial College London. Beyond academia, I served at the Health Information, Evidence and Research Unit of the World Health Organization (WHO) Regional Office for the Western Pacific, where I led the assessment of the country health information profiles. I also conducted epidemiological and mixed-method studies in Asia and the South Pacific. Currently, I am engaged in various translational health research and clinical studies, collaborating locally and internationally alongside experts from diverse academic and research disciplines.

I transitioned into academia in 2001 after several years in government service and the private sector. My teaching portfolio encompasses research methods, biostatistics, epidemiology, health economics, clinical trials, data protection, ethics and other public health-related courses. I have taught at the University of the Philippines, University of Göttingen, University of Oxford, and Imperial College London. As a Balik Scientist Awardee, I developed and implemented the first fully-online Biostatistics course for the Master in International Health programme at the University of the Philippines. With over 20 years of experience in higher education, I am a Senior Fellow of the Higher Education Academy (UK) and a Worldwide Recognised Tutor (University of London). I also lead the Artificial Intelligence in Health Research initiative at the Biostatistics Research Group and serve as methodological/statistical adviser for the NIHR Research Support Service.

Research

My research interests include the following:

•   Digital health, artificial intelligence (AI) methods and modelling techniques that could be efficiently applied to answer questions on identification of disease states, treatment efficacy, treatment cost-effectiveness and disease prevention

•   Understanding the determinants of health and disease using real world data and big data analytical tools in biostatistics and epidemiology

•   Applications of AI in biomarker studies, healthcare and clinical trials

•   Population and family-based analysis methods in genetics


I am involved in several health studies and clinical trials. I collaborate internationally and serve in various trial steering committees and data monitoring committees. I also serve in the Newcastle Ethics Committee, REF Team and AI Working Group.


 

Teaching

I have been involved in module and curriculum design throughout my academic career. I deliver courses in different modes (on-campus, distance education, online, hybrid) and undertake key roles related to learning and teaching. I supervise undergraduate and postgraduate students and currently lead or teach in the following modules:


Health Statistics (HSC8036) / Introduction to Health Statistics and Epidemiological Analysis (MPH8003)

Research Skills and Principles for the Biosciences (MMB8100 / MMB8101)

Clinical Trials (MCR8015)

Ethics and Research Governance - Data Privacy and Protection - Dissertation Module (HSC8099 / HSC8096)


Publications