Deepti Gurdasani

Employment

• University of New South Wales Associate Professor of AI in Public Health
  2023 - Present
• Queen Mary University of London Senior Lecturer in Machine Learning
  2019 - 2022
• Wellcome Sanger Institute Senior Staff Scientist
  2016 - 2019
• Wellcome Trust Sanger Institute Post doctoral fellow
  2013 - 2013
• University of Cambridge Research Assistant
  2010 - 2013
• Christian Medical College & Hospital Resident
  2006 - 2009

Education

• University of Cambridge PhD
  2010 - 2013
• University of Cambridge MPhil Epidemiology
  2009 - 2010
• Tamil Nadu Dr. M.G.R. Medical University MD General Medicine
  2006 - 2009
• Tamil Nadu Dr MGR Medical University MBBS
  1999 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (68)

• Artificial intelligence in public health: the potential of epidemic early warning systems
  Journal of International Medical Research 2023 DOI: 10.1177/03000605231159335
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• Assessment of COVID-19 as the Underlying Cause of Death Among Children and Young People Aged 0 to 19 Years in the US
  JAMA network open 2023 DOI: 10.1001/jamanetworkopen.2022.53590
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• Early detection of emerging infectious diseases - implications for vaccine development
  Vaccine 2023 DOI: 10.1016/j.vaccine.2023.05.069
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• COVID-19 and children
  Science 2022 DOI: 10.1126/science.ade1675
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• COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
  Johan H. Thygesen, Christopher Tomlinson, Sam Hollings

  +97 more

  • Mehrdad A. Mizani
  • Álex Handy
  • Ashley Akbari
  • Amitava Banerjee
  • Jennifer Cooper
  • +92 more
  The Lancet Digital Health 2022 DOI: 10.1016/S2589-7500(22)00091-7
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• Characteristics and impact of Long Covid: Findings from an online survey
  PLoS ONE 2022 DOI: 10.1371/journal.pone.0264331
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• Covid-19 in the UK: Policy on children and schools
  The BMJ 2022 DOI: 10.1136/bmj-2022-071234
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• Covid-19 is a leading cause of death in children and young people ages 0-19 years in the United States
  medRxiv 2022 DOI: 10.1101/2022.05.23.22275458
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• Health equality, race and pharmacogenomics
  British Journal of Clinical Pharmacology 2022 DOI: 10.1111/bcp.14983
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• High-resolution African HLA resource uncovers HLA-DRB1 expression effects underlying vaccine response
  medRxiv 2022 DOI: 10.1101/2022.11.24.22282715
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• Insights into the genetic architecture of haematological traits from deep phenotyping and whole-genome sequencing for two Mediterranean isolated populations
  Scientific Reports 2022 DOI: 10.1038/s41598-021-04436-9
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• Long COVID in children
  The Lancet Child and Adolescent Health 2022 DOI: 10.1016/S2352-4642(21)00342-4
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• The government wants us to learn to live with covid-19, but where is the learning?
  The BMJ 2022 DOI: 10.1136/bmj.o1096
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• Understanding and neutralising covid-19 misinformation and disinformation
  BMJ 2022 DOI: 10.1136/bmj-2022-070331
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• Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections
  The Lancet 2021 DOI: 10.1016/S0140-6736(20)32625-8
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• Characteristics of Long Covid: findings from a social media survey
  medRxiv 2021 DOI: 10.1101/2021.03.21.21253968
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• Classification of genetic variants using machine learning
  arXiv 2021
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• Delaying the second dose of covid-19 vaccines
  The BMJ 2021 DOI: 10.1136/bmj.n710
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• Herd immunity by infection is not an option: Difficult lessons are learned from a largely uncontrolled COVID-19 epidemic in Manaus, Brazil
  Science 2021 DOI: 10.1126/science.abf7921
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• Machine learning to guide the use of adjuvant therapies for breast cancer
  Nature Machine Intelligence 2021 DOI: 10.1038/s42256-021-00353-8
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