I am a Research Fellow in Biological Data Science at the University of Melbourne (School of Mathematics & Statistics), within Melbourne Integrative Genomics (MIG) and the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS). Previously, I was a Doctoral Researcher at the Finnish Center for Artificial Intelligence (FCAI) and Probabilistic Machine Learning (PML) group at Aalto University (Department of Computer Science) in Helsinki, Finland, where I developed probabilistic machine learning and deep learning techniques for genomics and personalised medicine.

My career spans research and industry/startups across Australia and Europe, including experience as a co-founder and AI lead of a digital health startup (Velmio) in Estonia, and AI technology consultant (Deloitte) in Australia. In my various roles I have worked in multidisciplinary teams to deliver end-to-end AI/ML projects across a range of industries, including healthcare, finance, natural resources and the public sector.

My research page and blog contain further details about my professional interests, which mainly center on artificial intelligence and machine learning (AI/ML), as well as more general mathematical and computational technologies, for biology and health (computational genomics, digital health, personalised medicine, etc.).

I am a graduating doctoral candidate (PhD in Computer Science, Aalto University), and have a First Class Honours degree in Applied Mathematics from the University of Sydney, and a BSc (Mathematics and Statistics, Economics) from the University of Western Australia.