A/Professor Sonika Tyagi

AMR IMPACT THEME
  • AI Solutions for AMR
EXPERTISE
  • Digital Health
  • Machine Learning and data-driven analysis
  • Multimodal data integration
  • Genomics

Associate Professor Sonika Tyagi leads a Digital Health and Bioinformatics research lab at the School of Computing Technologies, RMIT University, Australia. She is also an affiliate Machine Learning scientist at Monash University, Australia.

Sonika’s expertise is in developing new artificial intelligence (AI) tools and pipelines and applying these methods to solve biological and clinical research questions. Her current research focuses on integrative approaches to digital health & genomics for personalised care.

Sonika's contributions to the field have garnered recognition in the form of prestigious awards and funding. Sonika was a finalist for the Women in AI (WAI) awards – Australia-New Zealand 2022, and a Healthcare Innovator Award 2024 in the “AI in Health” category. Sonika was named as a Brilliant Women in Digital Health 2023. Sonika is an elected member of the Victorian branch leadership (2023-25) of the Australasian Institute of Digital Health (AIDH) and sits on the medical advisory to the  Australian Research Council (ARC).

AMR FOCUS
  • New pathogen genomics data standards
  • Automated and standardised infrastructure for integrating electronic medical records and genomics
  • Large-scale data integration and analysis
  • Artificial Intelligence-based personalised diagnosis and treatment for AMR
IMPACT
  • AI solutions to integrate and analyse this heterogeneous data, focusing on standardisation, quality control, bias and predictive analytics.
  • Scalable infrastructure can transform healthcare from process-driven to outcome-focused by enabling efficient clinical decision support systems.
  • Advance risk prediction and personalised care.
  • Future outbreaks prediction, and real time tracking of transmission of infection.
  • Equitable access to AI technologies