Vote for your favorite poster

We received an incredible number of entries from across Australia for the National Poster competition. Our ANU judging panel has carefully selected 6 finalists. Now it's your chance to help choose the winner!
 

How to Vote

If you're a current Australian National University student or staff member, you can cast your vote for your favorite poster. Simply click the "Vote Now" button below.

Please note: You can only vote once per email address.

Finalist

      Voting is now closed       

Meet our judges

Associate Professor Brett Lidbury

Brett Lidbury completed undergraduate and honours degrees at the University of Newcastle, followed by a Ph.D. at the John Curtin School of Medical Research (JCSMR), the Australian National University (ANU) (viral engineering and cytokines). More recently he was awarded Fellowship to the Faculty of Science with the Royal College of Pathologists of Australasia (RCPA).
Post-doctoral experience was gained in molecular virology and mucosal vaccine development, followed by an appointment to a lecturing position tasked primarily with establishing an undergraduate molecular biology programme, along with education in genetics and laboratory medicine.

Research during this period involved investigations of immunopathogenesis associated with infection by the mosquito-borne alphavirus Ross River (RRV), with key findings published on the elucidation of the molecular basis of antibody-dependent enhancement (ADE - associated with several viruses, including dengue), models of muscle and bone pathology post-infection, and a model of long-term viral persistence in host cells. Further research into alphavirus pathogenesis was conducted while attached to the Department of Microbiology and Immunology at the University of North Carolina-Chapel Hill in the United States, supported by a NIH-R01 grant.

RRV is associated with post-viral fatigue syndromes in Australia, and fundamental research into this pathogen provided the link to current ME/CFS research (from 2011). Research in ME/CFS has extended into an interest in long COVID (post-viral fatigue) with methods now involving machine learning and advanced analytics. Machine learning is also central to projects on hepatitis B virus and tropical pathogen surveillance.

In addition to the above research career, he has experience in diagnostic pathology and served a period as a pre-clinical evaluator (toxicology) with the Therapeutic Goods Administration.

Dr Busayo Israel Ajuwon

Dr Busayo Israel Ajuwon holds a PhD in Epidemiology and Population Health from the Australian National University (ANU), with expertise in translation research and evidence synthesis for clinical practice and policy making. He develops and applies cutting-edge machine learning and artificial intelligence techniques in population health research to improve health outcomes and deliver real-world impacts.

In 2021, Dr Ajuwon was awarded an Early Career Research Grant by the National Institute for Health Research in the United Kingdom to support the development of a pioneering machine learning tool for early detection of hepatitis B virus infection. Dr Ajuwon’s research outputs include publications in top-tier scientific journals, such as BMJ Global Health, International Journal of Medical Informatics, Scientific Reports, amongst others.

Dr Ajuwon enjoys writing non-technical articles on health and technology to drive social change and promote scientific outcomes. He has authored a significant number of articles for The Conversation— a leading international publisher of research-based news and analysis. These articles have reached over 23.4 million people, leading to media interviews, including a recent feature by the ANU College of Health and Medicine.
Dr Ajuwon is a recipient of multiple prestigious awards, including the 2021 Peter Baume HDR Award by the ANU National Centre for Epidemiology and Population Health.

Dr Erin Walsh

Dr Erin I. Walsh is a research fellow at the National Center of Epidemiology and Population Health (NCEPH), ANU. She completed her PhD in self-report psychological research methods in 2015, and subsequently has led projects involving both quantitative and qualitative data collection and analysis.

Her current focus is the use of visualisation as a tool for communicating population health information, with ongoing interests in cross-disciplinary methodological synthesis, and innovation in playful data collection.

Alongside research, she works as a scientific illustrator, offering assistance with stimuli preparation, data visualization, and figure preparation for scholarly publication or engaging the general public with science.