Miguel Angel Luque-Fernandez, MA, MPH, MSc, PhD
Luque-Fernandez is an Assistant Professor of Epidemiology and Biostatistics at the London School of Hygiene and Tropical Medicine and senior Epidemiologist and Biostatistician at the Biomedical Research Institute of Granada, University of Granada. Also, Luque-Fernandez holds appointments as a scientific collaborator with the Department of Biostatistics of the Berkeley School of Public Health, the Department of Epidemiology at the Harvard TH Chan School of Public Health, and the Spanish Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP, ISCIII). Luque-Fernandez research interests lie principally, but not exclusively in the field of epidemiological methods and comparative effectiveness research targeting the socioeconomic inequalities in cancer outcomes. Currently, he is developing in collaboration with colleagues from the Cancer Survival Group (CSG) at the LSHTM data-adaptive methods for model selection and evaluation based on cross-validation techniques and applying advanced causal inference methods such as targeted maximum likelihood estimation TMLE to study cancer outcomes.
Luque-Fernandez is an Assistant Professor of Epidemiology and Biostatistics at the London School of Hygiene and Tropical Medicine and senior Epidemiologist and Biostatistician at the Biomedical Research Institute of Granada, University of Granada. Also, Luque-Fernandez holds appointments as a scientific collaborator with the Department of Biostatistics of the Berkeley School of Public Health, the Department of Epidemiology at the Harvard TH Chan School of Public Health, and the Spanish Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP, ISCIII). Luque-Fernandez research interests lie principally, but not exclusively in the field of epidemiological methods and comparative effectiveness research targeting the socioeconomic inequalities in cancer outcomes. Currently, he is developing in collaboration with colleagues from the Cancer Survival Group (CSG) at the LSHTM data-adaptive methods for model selection and evaluation based on cross-validation techniques and applying advanced causal inference methods such as targeted maximum likelihood estimation TMLE to study cancer outcomes.
