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Dr Alvina Lai
University College London
Institute of Health Informatics
Dr Alvina Lai profile picture
  • Associate Professor
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
I am Associate Professor at UCL, experienced in both dry- and wet-lab research. My move to the University of Oxford for postdoctoral training is supported by two prestigious international peer-reviewed fellowships; EMBO and Human Frontier Science Program.

We are a multi-disciplinary group of individuals connected through our enthusiasm of using data to advance knowledge and make informed decisions.

As long as you share a passion for data science, we invite you to get in touch if you would like to join the group as a student or a postdoctoral colleague. We are also keen to hear from potential collaborators to discuss areas of research synergy and ways in which we can contribute to your research.
Research Summary
Alvina leads a multidisciplinary research group that uses real-world electronic health records to understand health and health outcomes. Her group works on a wide range of physical and mental health conditions, spanning 300+ diseases and involving 20+ clinical specialties. Her research has led to the filming of a BBC Panorama Documentary on Britain’s Cancer Crisis and has received national recognition from Royal College of Physicians Research Award.

Her team has diverse expertise in Health Informatics, Phenomics, Public Health, Risk Prediction, Pragmatic Trial Emulation, Precision Medicine and Public Engagement.

Alvina currently leads the Prognostic Atlas and Informatics Consult projects with Professor Harry Hemingway.
Teaching Summary
Providing exceptional mentorship is integral to my plan in making enduring contributions to the scientific community. I continue to play an active role in higher education teaching and research mentoring. As a versatile educator, I have experience in curriculum development and teaching a wide range of topics including: Biology, Research Methods, Quantitative Methods and Statistics, Cells and Genes, Biochemistry, Organisms, Molecular Genetics, Genome Evolution and Evolutionary Biology. As a testament to my pedagogical skills, I was awarded the Excellence in Teaching Award three times for scoring above 4.5/5.0 marks in the students’ evaluation of teaching.

I am involved in the education of the next generation of data scientists through my teaching roles in the MSc Health Data Analytics and MSc Health Data Science courses at UCL. I also contribute to several other MSc modules where student learning takes the form of traditional lecturing or a more contemporary blended learning approach (online and face-to-face).
Academic Background
    Doctor of Philosophy Massey University
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