Deepti Gurdasani
Associate Professor

Dr Deepti Gurdasani

Raina MacIntyre C; Lim S; Gurdasani D; Miranda M; Metcalf D; Quigley A; Hutchinson D; Burr A; Heslop DJ, 2024, 'Early detection of emerging infectious diseases - implications for vaccine development', Vaccine, 42, pp. 1826 - 1830,
MacIntyre CR; Chen X; Kunasekaran M; Quigley A; Lim S; Stone H; Paik HY; Yao L; Heslop D; Wei W; Sarmiento I; Gurdasani D, 2023, 'Artificial intelligence in public health: the potential of epidemic early warning systems', Journal of International Medical Research, 51,


  • Oracle Research Project Cloud compute award ($21,000)
  • NIHR AI in Multimorbidity Development Award (£118,000), 2021
  • UKRI/Rutherford Fellowship (£319,509)
  • Cambridge-Africa Alborada Research Fund (£19,970)
  • Award of the Cambridge Commonwealth Scholarship (£36,000)
  • Young Investigator Award for the Conference of Retrovirology and Opportunistic Infection
  • Distinction in MPhil Epidemiology
  • First rank in M.D. Medicine
  • Dr. R. Rajam Commemoration Gold Medal for First rank in MD Medicine
  • Dr. R. Vijayalakshmi Gold Medal for University First rank in MD Medicine
  • Prof. Dr. G. B. West Endowment Silver Medal for University First Rank in MD Medicine
  • Iraiyadimai E.A. Jiavudeen Endowment Prize for First Rank in MD Medicine
  • Kutumbiah Prize in Clinical Medicine
  • Second Rank in first M.B.B.S
  • Third Rank in second M.B.B.S
  • Fourth rank in Final M.B.B.S
  • Abhyankar Memorial Prize in Physiology
  • Thomas Dina Prize for the first rank in Physiology
  • Philip Simmons Prize in Psychiatry
  • Gwenda Lewis Prize in Anaesthesiology
  • Victor C Rambo Prize for first rank in Ophthalmology
  • First Certificate of Honor in Biochemistry, Physiology, Anatomy, Pharmacology, pathology, Microbiology and Ophthalmology
  • Second Certificate of honour in Oto-Rhino-Laryngology, Community Medicine and Forensic Medicine
  • Second Prize in the All India Apollo Annual Medical Quiz

Using LLMs for Open-Source Intelligence (OSINT)


  • Current member of OzSAGE

  • Former member of UK Independent SAGE

  • >100 interviews across the BBC, ITV, Sky News, Bloomberg TV, CNN, ABC, CBC, DW News, EuroNews, and podcasts, including with the Economist, the Guardian, the Naked Scientist

  • Opinion pieces for the Guardian, iNews, Foreign Policy Magazine, the Conversation, the Byline Times.

  • Comments and quotes for the Guardian, New York Times, WSJ, Sky News and New Statesman.

  • Patient and public engagement for severe mental illness multimorbidity research

  • Patient engagement for COVID research and policy (Long COVID Kids, Clinically Vulnerable Families, UK, Parents United, SafeEd4All)

  • Advocacy for a better culture in academia (@dobetteracademia)

  • Given public evidence to the UK parliamentary committee for COVID-19 pandemic response (APPG) and presenting updates and evidence at Independent SAGE

My current areas of research supervision focus on Natural Language Processing and Machine Learning in epidemic surveillance, health, genomics and drug discovery. I’m looking for talented and motivated PhD students and postdoctoral candidates interested in machine learning/deep learning methods and applications to large-scale unstructured open-source, clinical and genomic data to join my team. Please email me if you are interested.