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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.

Lead Biostatistician and Public Health Medicine Registrar

Liverpool Public Health Unit
February 2019 to January 2020
Sydney
  • Assessing the effectiveness of oseltamivir prophylaxis in preventing Influenza outbreaks in Aged Care Facilities.
  • Estimating Childhood Disability in Southwest Sydney and advocating a state-wide Child Disability Register
  • Outbreak Control (eg Measles; Gastro in a school, child care or aged care facility; Influenza in an Aged Care Facility)
  • Educating district aged care facility managers ad nursing staff on managing and preventing the spread of influenza outbreaks in a one day teaching session
  • Environmental Health Risk Assessments (PFAS, M12 noise and vibration, Establish Surveillance for Lead Notification with a high-risk Lead Battery Manufacturer, Mercury in Fish)
  • Speeding up the management of Syphilis notification through automating repetitive data entry tasks using R and Adobe Optical Character Recognition for data extraction and processing.
  • Teaching and upskilling staff in research methods and assisting the Medical Epidemiologist in reporting and surveillance work (Annual STI report | Published Meta-Analysis of Gonorrhoea prevalence and antibiotic resistance for studies in the past 30 years in Australia and New Zealand)
  • Assessing the need for screening for Latent Tuberculosis Infection for refugee children under 2 years