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Mr Mehrdad Alizadeh Mizani
UCL Institute of Health Informatics
222 Euston Road
United Kingdom
Mr Mehrdad Alizadeh Mizani profile picture
  • Honorary Research Fellow
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Mehrdad Mizani is a health data scientist at the Institute of Health Informatics working on the application of AI and machine learning for phenotyping and sub-typing, as well as survival analysis of COVID-19. Previously he was a Newton International Fellow of the Academy of Medical Sciences at The University of Edinburgh working on anonymisation in observational studies. Mehrdad holds a PhD and MSc in Medical Information and BSc in computer engineering . Mehrdad’s primary research areas include data science in epidemiology, quality assurance of health data science, privacy preserving machine learning, federalted learning, and cybersecurity.
Research Themes
Research Summary
- Data science in epidemiology
- Privacy preserving machine learning
- Quality assurance in data science
- Cybersecurity
Teaching Summary
- Cloud computing and security
- Cybersecurity
- Security and privacy in medical informatics
- Machine learning in healthcare
02-JAN-2020 Research Fellow in Health Data Science Population Health Sciences Institute of Health Informatics, United Kingdom
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