
Dr Louise Millard
BSc (Goldsmiths), MSc(Bristol), PhD
Current positions
Senior Lecturer in Health Data Science (Co-Director MSc in Medical Statistics and Health Data Scienc
Bristol Medical School (PHS)
Contact
Press and media
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Research interests
Louise is a Senior Lecturer in Health Data Science in the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol. Following an undergraduate Computer Science degree and MSc in Machine Learning and Data Mining, she completed an interdisciplinary PhD at the interface of Computer Science and Epidemiology. Since then she has continued her interdisciplinary research, developing and applying data mining approaches in Epidemiology, with a focus on analysing time-series data, and hypothesis-free causal inference with Mendelian randomization. Louise is Co-Director of the MSc in Medical Statistics and Health Data Science.
Projects and supervisions
Research projects
MRC: Innovating behaviour & health surveillance for cardiovascular disease prevention in Malaysia.
Principal Investigator
Role
Principal Investigator
Managing organisational unit
School for Policy StudiesDates
01/01/2020 to 31/12/2023
MRC: Innovating behaviour & health surveillance for cardiovascular disease prevention in Malaysia.
Principal Investigator
Managing organisational unit
Bristol Medical School (PHS)Dates
31/12/2019 to 31/12/2022
Thesis supervisions
Variance quantitative trait loci
Supervisors
Publications
Recent publications
06/02/2026The Feasibility of Smartwatch Micro–Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the South-East Asian Community Observatory Child Health Update 2020
JMIR
Linking digital footprint data into longitudinal population studies
International Journal of Population Data Science
Evaluating classification performance across operating contexts
Evaluating classification performance across operating contexts
Accelerometer-measured 24-hour movement behaviours over 7 days in Malaysian children and adolescents
PLOS ONE
Accounting for bias due to outcome data missing not at random
BMC Medical Research Methodology




