Profile:
Dr. Sonika Tyagi is an Associate Professor and Machine Learning lead scientist at RMIT University. Her expertise lies in the development and application of AI tools to address critical biological and clinical research questions. Her research primarily revolves around the analysis of large-scale genetic and healthcare data to predict personalized risk profiles and care plans for individuals affected by various diseases. In addition to her role at RMIT University, Dr. Tyagi serves as a co-investigator in the SuperbugAI project at Monash University. Her outstanding contributions to the field have garnered recognition in the form of various awards and funding. She has been a recipient of NHMRC grants and was honored with an Early Mid-Career Research Fellowship from the Australian Academy of Science for her exceptional work on AI models for the diagnosis of preterm birth. Dr. Tyagi’s accomplishments were further acknowledged when she became a finalist in the Australia/New Zealand Women in AI awards 2022, specifically in the “AI in Health” category.
Talk title:
Integrating Multimodal Data: Paving the Path for Personalized Medicine