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Dr. Mithilesh Dronavalli

Medical Biostatistician / Lead Data Scientist

Statistical Consulting
Social & Public/ Mental Health Research
Data Science
Biostatistics / Causal Inference
Machine Learning
Employed Available
An Accredited Statistician (AStat)/ Lead Data Scientist and medical doctor with nine years of experience in applying advanced statistical modelling and machine learning to clinical, public health and social research. Expertise in managing and analysing large-scale population datasets (1.8 million+ records) using R/R Shiny, Stata, PL/SQL, Python, SAS and Qilk.

Proven track record of leading research projects from conception to publication with a focus on statistics and data science. Statistical author on 28 articles in peer-reviewed journals with over 750 citations.

My research is in the areas of poverty, crime, social disadvantage, prenatal drug abuse, prematurity, children with disabilities, mental health, out of home care, addiction, Aboriginal Health, communicable diseases, cancer, heart disease, smoking cessation, breastfeeding, health and well-being, health education and aged care.

Research Fellow (Biostatistics)

National Drug and Alcohol Research Centre (WHO Collaborating Research Centre), UNSW
January 2020 to December 2020
Sydney
  • Investigating the role of Social Disadvantage in Criminal Trajectories of those using Drugs as the index offence.
  • Evaluation of an Aboriginal Cultural Competency Program for non-Aboriginal Drug Rehabs
  • Supervising an Aboriginal PhD Student in research for a Continuous Quality Improvement of Aboriginal Residential Drug Rehabs
  • RCT Evaluating Health Education Videos for Breastfeeding delivered by "Mentor Mothers" for Poor Mothers in South Africa. In collaboration with Stanford University and Heidelberg University