Jenni Ilomaki

Dr Jenni Ilomaki is a NHMRC Early Career Fellow with expertise in clinical pharmacy, epidemiology and public health. Jenni leads a dynamic and expanding research group focused on analyses of administrative claims data. Jenni and her team collaborate with a range of government and non-government organisations in Australia and internationally. Jenni has published 74 articles in peer-reviewed scientific journals and obtained AUD $1.77 million in grant funding. Jenni is the Chair of the Pharmacoepidemiology Special Interest Group of the Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists (ASCEPT).

Jenni graduated with a Bachelor of Science (Pharmacy) from the University of Kuopio in 1999, and Master of Science (Pharmacy) in 2004. In 2000, Jenni was instrumental in establishing Finland’s first drug information centre KLIK. From 2002-2005 KLIK responded to more than 27,000 inquiries from consumers, pharmacies and hospitals across Finland. In 2006-2007, Jenni was a visiting scholar at the University of Florida Department of Pharmaceutical Outcomes and Policy.

Jenni then returned to Finland and undertook a PhD in alcohol epidemiology at the Department of Public Health and Clinical Nutrition at the University of Eastern Finland. During her PhD Jenni published the first application of a marginal structural model in alcohol epidemiology. For this landmark work the Finnish Epidemiological Society named Jenni the Young Epidemiologist of the Year 2011. The Finnish Graduate School of Pharmaceutical Research recognised Jenni’s work by awarding her the Best Thesis in Pharmaceutical Sciences 2010-2011.

Jenni was Postdoctoral Research Fellow at the University of South Australia from 2011-2014, during which time she analysed data and prepared reports on behalf of the Australian Government Department of Veterans’ Affairs and NPS MedicineWise.

Quality use of medicines; medicine safety and effectiveness; improving health through conducting large population studies; and developing innovative epidemiological methods.