معرفی
Associate Professor Sonika Tyagi leads the Digital Health and Bioinformatics research lab at RMIT University's School of Computing Technologies. She is an affiliate Machine Learning scientist at Monash University and holds leadership roles in the Australasian Institute of Digital Health (AIDH) and Australian Research Council (ARC). Her research focuses on integrating machine learning with genomics and healthcare data to address clinical challenges, such as preterm birth prediction and antibiotic resistance.
Research Interests:
- Multimodal data integration for personalized medicine
- AI-driven genomics and healthcare analytics
- Biomedical data standardization and infrastructure
- Natural language processing of unstructured medical data
Key Projects:
- EHR-QC and EHR-ML pipelines for clinical outcome prediction
- GenomicBERT for genomic sequence analysis
- SuperbugAI flagship project on antibiotic resistance
Awards:
- Healthcare Innovator Award 2024 (AI in Health)
- Women in AI (WAI) Awards Finalist 2022
- Brilliant Women in Digital Health 2023
Grants & Funding:
- NHMRC grants (2017-2025)
- AISRF EMCR Fellowship (2020)
- Industry and university grants for equitable AI resources
She advises diagnostic startups and collaborates with clinical institutions to translate research into practical solutions. Her lab trains over 30 students, focusing on interdisciplinary data science and computational biology.
