Conor O'Hare is a research assistant at the National University of Singapore in the research group of Assistant Professor Swapnil Mishra. His research focuses on obtaining phylodynamic and phylogeographic insights into dengue outbreaks in Singapore using high-throughput sequencing data. He applies Bayesian inference methods and tools (including BEAST and BEAGLE) to infer transmission paths and potential sources of variants that lead to these outbreaks within and outside Singapore. His research group is integrated into the Machine Learning in Global Health network, a partnership with six international universities that seeks to bridge the gap between advances in machine learning, practitioners, and policymakers working in public health globally. Prior to joining the group, he obtained a master’s degree in bioinformatics from University of Copenhagen, where his thesis focused on the paleogenomics of camelids in South America to infer the history of domestication through ancient and modern DNA samples.