Dr Jing Kang
- Position: Associate Professor in Biostatistics
- Areas of expertise: Statistics; Medical statistics; Public health; Epidemiology; Data Science; Complex statistical modelling; Study design; Clinical trials; Machine learning
- Email: J.Kang@leeds.ac.uk
- Location: 7.13 St James Wellcome Trust Brenner Building
- Website: ORCID
Profile
Dr Jing Kang, PhD
Primary research theme: Statistics and Epidemiology
Jing Kang obtained BSc Honours in Mathematics from Hong Kong Baptist University, Hong Kong in 2005 and a PhD in Computational Biology from Warwick University in 2010.
She was a Postdoctoral Research Fellow in Babraham Institute, Cambridge from 2010-2011. She joined University of Leeds as Lecturer in Biostatistics at the School of Dentistry 2012-22, and Associate Professor in Medical Statistics/Biostatistics 2022-present.
She is a regular speaker at national and international conferences and is a referee for several peer reviewed journals. She is actively applying for research grants, seeking for more research collaborations and has published several papers in high-profile peer-reviewed international journals. She teaches both undergraduate and postgraduate students and is currently leading one postgraduate module, supervise and co-supervises postgraduate students.
Funding
Alzheimer’s Society (PI) 2021-2024 Investigating the link between oral health and cognitive decline using a Mendelian Randomization approach £83k
Leeds Hospital Charity (Co-I) 2020-21 MUScle Imaging in COVID-10 (The MUSIC study) £24k
UKRI Closing the Gap Kick Starter Fund (PI) 2019-2021 The causes and consequences of poor oral health in people with severe mental health difficulties: The mouth matters study. £10k
Colgate-Palmolive Company (Co-I) 2018-2021 Oral host microbe homeostasis:influencing the immunomodulatory and wound healing properties of the oral microbiome. £365k
Colgate-Palmolive UK Ltd Company (Co-I) 2015-2021 resident oral bacteria with momeostatic potential and their roles in health and disease. £350k
BSAC-British Society for Antimicrobial Chemotherapy (Co-I) 2017-2018 Validity of the Health Improvement Network (THIN) for the study of antibiotic prescriptions in chronic wound care. £14k
European Union (Co-I) 2015-19 ADVOCATE (Added Value for Oral Care) £1.7m
Leeds Teaching Hospitals Charitable Trust (Co-I) 2012-13 Regenerative endodontic technique for the management of immature permanent teeth with necrotic root canal systems
Current Postgraduate Research Degree Supervision
Chenyi Gao (PhD, 2021-24. Main supervisor). Investigating the link between oral health and cognitive decline using a Mendelian Randomization approach
Harriet Larvin (PhD, 2019-22. Co-supervisor). Investigating the association between periodontal disease and systemic disease
Laura Whitehouse (PhD, 2019-23 . Co-supervisor). Biomimetic scaffolds for pulp capping dentinogenesis
Leticia Garcia Montoya (PhD, 2019-25. Co-supervisor). Stratification of individuals at-risk of RA: from primary care to secondary care
Ioanna Palikaraki (Professional Doctorate, 2018-22. Co-supervisor). Effectiveness of experience of nitrous oxide/oxygen sedation at assessment on the dental anxiety of children progressing to treatment under inhalation sedation
Ahmed Albariqi (Professional Doctorate, 2016 - 20. Co-supervisor ), A study into the effectiveness of fluoridated milk in the prevention of dental erosion using an in vitro pH cycling.
Responsibilities
- Deputy Director of Postgraduate Research Studies
- Statistical lead in Oral Biology
- Module lead
Research interests
Statistical modelling of oral health and dental data
Association between oral health and comorbidity of other diseases
Experimental design and clinical trial design
Epidemiology and public health
Qualifications
- PhD
- MSc
- BSc
Professional memberships
- Royal Society of Statistics
- Fellow of the Higher Education Academy
Student education
Teaching Areas
Undergraduate teaching on clinical statistics and postgraduate teaching on research methods and statistics
Research groups and institutes
- Microbiology and cell biology