Accepting PhD Students

PhD projects

I am looking for students to take up Bioinformatics projects. PhD scholarships are available. Students with a strong computational background are encouraged to apply with their CV and a page-long research proposal.

20032022

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Personal profile

Biography

Dr. Sonika Tyagi has a Ph.D. in Computational Biology and over 15 y of work experience in academia & industry. Throughout her postgraduate studies in India, she was awarded a merit-based or competitive research fellowship. In 2004 she visited the University of Queensland, Australia on a research fellowship. After 3y of postdoctoral research, she worked in industry leadership roles for 7y. In 2018 she joined a teaching and research position at Monash University to establish her research program. She is currently a Machine Learning lead in the SuperbugAI flagship project. 
 
 
Her expertise is in developing new machine learning tools and pipelines, and apply these methods to solve biological research questions. Tyagi has developed novel probabilistic models based on natural language processing to predict non-coding RNA structures ab-Initio and has implemented deep learning approaches to predict functional motifs on these structures. She applied these methods to successfully predict novel miRNAs and detected DNA variants causing melanoma. All of these methods are openly accessible to the community via GitLab.
 
Tyagi was a chief investigator on an NHMRC funded project to computationally study human pregnancy (2017). In 2020 she was also awarded an Early Mid Career Research fellowship by the Australian Academy of Science to develop AI models for the diagnosis of preterm birth. This was followed by an NHMRC success in 2021 for Targeted Delivery of Nucleic Acid Therapeutics for Preventing Preterm Birth (2022-25).
 
She has received industry funding (2018), and University grants (2029-20) for developing AI resources to study diseases.
 
Sonika is one of the finalists for Women in AI (WAI) awards - Australia/Newzealand 2022 in the "AI in Health" category.
 
 
 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Bioinformatics, PhD, Jawaharlal Nehru University

Award Date: 15 Dec 2007

Research area keywords

  • Health Informatics
  • Machine Learning
  • Genomics
  • Natural Language Processing
  • ncRNA
  • Antimicrobial resistance

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