I am a research assistant at the National University of Singapore under Assistant Professor Swapnil Mishra’s group. Our research focuses on obtaining phylodynamic and phylogeographic insights into dengue outbreaks in Singapore using high-throughput sequencing data. We apply Bayesian inference methods and tools (including BEAST and BEAGLE) to infer transmission paths and potential sources of variants that lead to said outbreaks within and external to Singapore. This group is integrated within the Machine Learning in Global Health network, a partnership with six international universities, which seeks to close the gap between advances in machine learning, practitioners, and policymakers working in public health globally. Before this position, I obtained a Master’s degree in Bioinformatics from the University of Copenhagen. My thesis focused on the paleogenomics of camelids in South America, where I sought to infer the history of domestication through ancient and modern DNA samples.