Aarti Gulyani

Senior Biostatistician

College of Nursing and Health Sciences

place Bedford Park
GPO Box 2100, ADELAIDE, SA, 5001

Aarti Gulyani is a Senior Biostatistician leading the Biostatistics Unit at the Caring Futures Institute and the College of Nursing and Health Sciences (CNHS), Flinders University. With over 15 years of experience as an applied biostatistician, she has worked with South Australian universities, national data registries, and the South Australian Health and Medical Research Institute (SAHMRI).

Drawing on her strong background in statistics and extensive experience in health data analysis, Aarti provides high-level statistical consultancy to CNHS researchers, supporting them in navigating complex data analyses. She established the Stats Centre to offer tailored data analysis services to researchers who lack the capacity or expertise to conduct their own statistical work. Beyond consultancy, Aarti is deeply committed to mentoring and advancing the statistical knowledge. She conducts statistical workshops, provides advice on grant applications, assists with Statistical Analysis Plans and power calculations.

She is also pursuing her PhD, with research centred on estimating the relative survival and predicting the prevalence of individuals with multiple and metastatic cancer using population-based data. Her interest lies in advance data programming (STATA) skills, and statistical modelling techniques, including flexible parametric survival models, relative survival models, mixture cure methods, and machine learning. Aarti is passionate about fostering collaboration, sharing her expertise, producing impactful publications, and advancing research excellence across university disciplines.

Qualifications
  • Masters by Research (Biostatistics), Panjab University

     Award Date: 31 Jul 2007

  • Master of Science (Statistics), Panjab University

     Award Date: 16 Sept 2006

  • Bachelor of Science (Mathematics, Physics & Chemistry), Panjab University

     Award Date: 31 Mar 2004

Key responsibilities
  • Statistical Consultation
  • Advance data analysis & result interpretation
  • Collaboration on research projects & grants
  • Run statistical workshops in methods & practice of statistics.
  • Teaching research methods
Further information

Research Interests

  • Parametric & Semi-parametric Survival Analysis
  • Causal Inference
  • Mediation Analysis
  • Mixed Effect and Multi-level Models
  • Auto-Regressive modelling
  • Zero-inflated Regression Models
  • PBS/MBS data and big linked data analysis
  • Machine learning