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. Her expertise is in developing new machine learning (ML) tools and pipelines, and applying these methods to solve biological and clinical research questions. Her current research focuses on integrative approaches to digital health and genomics.
Sonika's outstanding contributions to the field have garnered recognition in the form of prestigious awards and funding. Sonika was a finalist for Women in AI (WAI) awards – Australia-NewZealand 2022 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-) of the Australasian Institute of Digital health and sits on the medical advisory to Australian Research Council.
Research:
Sonika is a NHMRC chief investigator to computationally study human birth (2017-2021) and for Targeted Delivery of Nucleic Acid Therapeutics for Preventing Preterm Birth (2022-25). In 2020 she was also awarded an AISRF Early Mid Career Research (EMCR) fellowship by the Australian Academy of Science to develop AI models for the diagnosis of preterm birth. She has received industry funding (2018-22), and University grants (2019-20) for developing equitable AI resources to study genetic diseases. Sonika is also a co-investigator in the SuperbugAI flagship project (2022-2025) and the national Antibiotic Pathogen Resistance consortium (2017-2021).
Education:
Sonika has been developing and delivery teaching on Data Science, AI and Computational Biology algorithms for over a decade. Sonika has been a member and contributor of ISCB Education COSI and chair/member of the GOBLET standards, EMBL-ABR and ABACBS education & training committees. She is currently a steering committee member of the Life Science Trainers group and both Galaxy Australia and Galaxy-India.
Teaching:
Course coordinator and lecturer for Foundations of AI for STEM (COSC2960), RMIT University [2023-current]
Selected conference talks, panels or workshops:
Industry experience:
With strong abilities in teamwork, research and leadership Sonika is actively involved in advisory boards of diagnostic start-ups, and utilising expertise to facilitate the translation of research into practical applications through commercialisation.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.