Biography

Dr. Sonika Tyagi is a Machine Learning lead scientist at Central Clinical School 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 health informatics and genomics. Her group applies deep learning and natural language processing techniques to study genomes.

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 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 AI resources to study genetic diseases. Sonika was a finalist for Women in AI (WAI) awards - Australia-Newzealand 2022 in the "AI in Health" category.

 

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Sonika identifies as culturally and linguistically diverse.