Sonika Tyagi

Associate Professor
RMIT University
Adj. Senior Lecturer
Monash University

Melbourne, VIC

Contact me for

  • Mentoring
  • Sitting on boards or committees
  • Providing an expert opinion
  • Outreach activities
  • Conference presenting
  • Opportunities to collaborate


Dr. Sonika Tyagi is an Associate Professor of Digital Health and Bioinformatics at the School of Computational Technologies, RMIT University Australia. She is also an affiliate Machine Learning lead scientist at Central Clinical School Monash University Australia.

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 of 2023. Sonika is an elected member of the Australasian Institute of Digital Health (AIDH) and medical advisory to Australian Research Council.

Her expertise is in developing new machine learning 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 is a NHMRC chief investigator to computationally study human birth (2017) 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 a co-investigator in the SuperbugAI flagship project and the national Sepsis consortium.

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.

Sonika identifies as culturally and linguistically diverse.