I am a Level-B research fellow at the Developmental Systems Biology laboratory (Australian Regenerative Medicine Institute), headed by A/Prof. Mirana Ramialison. I am affiliated with the Murdoch Children's Research Institute, the Data Science & AI research group (Faculty of IT, Monash University), and with the Rheumatology Group, Centre for Inflammatory Disease, School of Clinical Sciences at Monash Health.

My PhD was awarded in 2013, jointly by National University of Singapore (School of Computing) and Massachusetts Institute of Technology (Electrical Engineering and Computer Science). I subsequently held postdoctoral positions at the Mechanobiology Institute (Singapore), Systems Biology Institute Australia, Data Science & AI research group at Faculty of IT; the School of Biological Sciences; before joining the Developmental Systems Biology laboratory at the Australian Regenerative Medicine Institute.

I am an interdisciplinary researcher, with long-term collaborations with both academics and industry, including Merck KGaA, Max Planck Institute (Germany), and Jackson Laboratory (USA). My work focuses on developing and applying Data Science techniques to domain applications, mainly in biomedicine. To date I have published >33 peer-reviewed papers, in top journals such as Bioinformatics 2013, PLOS Computational Biology 2015, Cell Stem Cell 2017, BMC Genomics 2018, Molecular Ecology 2018, and The Lancet Rheumatology 2019 & 2020. I have received ~$1.7M in research funding to date, including Victoria Cancer Agency 2015-2018, NHMRC Project Grant 2018-2020, and Merck KGaA 2018-2019 (industry funding). 

My research interest includes applied data science, bioinformatics, data visualisation, and systems biology. Some of my research work includes:

•    Developed cloud-based platforms for heart diseases

• VISIONET: http://visionet.erc.monash.edu/
• TrawlerWeb: https://trawler.erc.monash.edu.au/
• 3D Cardiomics: http://3d-cardiomics.erc.monash.edu.au/
• CARFMAP: http://visionet.erc.monash.edu/CARFMAP

•    Deployed the cloud services using Amazon Web Service (AWS) and NeCTAR scalable platforms
•    Studied cardiac fibrosis using multi-omics profiling data
•    Developed multi-platform server-client 3D architecture with Apache, Javascript, WebVR, CAVE2, Google Cardboard, HTC Vive, and Microsoft Hololens
•    Developed a cloud-based real-time sensor visualisation architecture with PubNub, IFFFT, and Carelink

I have 4 years of teaching experience at Monash (rated “meeting aspirations” for FIT4012 in 2018) and nominated for teaching excellence award (FIT5126, 2018), and 4 years of lecturing experience at NUS/MIT between 2009-2012. I am currently lecturing FIT4012 (Honours) and BRM5012 (Masters). I have supervised eight students to completion, with two current HDR students. I also participated in John Monash Science School’s Work Experience program, by supervising high school students. I have actively participated in teaching industry-based programs such as Monash’s Masters of Data Science.

I am interested in supervising interdisciplinary students with passion in applying computational skills to domain problems. There are PhD scholarship opportunities in collaboration with the Australian Regenerative Medicine Institute, the School of Clinical Sciences and the data science / biotechnology / pharmaceutical industries.