Hello! Thanks for visiting my site! 👋
I work on statistical machine learning and data science research. I am interested in anomaly and event detection, algorithm evaluation and fairness and applications in spatio-temporal data and networks. There are more links between these topics than meets the eye. Sometimes linking different topics gives us better insights. Isn’t it fun when that happens.
I am a Senior Research Scientist at Australia’s National Science Agency, CSIRO. At CSIRO’s Data61 I work on interesting cutting-edge scientific research. I work with other researchers who come from different backgrounds like biology and social science. It is fascinating to work with people from different disciplines and see “Science at Work”! I really enjoy these interactions and love the experience.
To give a bit of my background I am an applied mathematician. My PhD was in mean curvature flow, which is in the intersection of differential geometry and partial differential equations. I have seen researchers from different backgrounds – engineering, biology, computer science, statistics, mathematics – work on machine learning and artificial intelligence problems. We all bring different strengths to the table that help to propel the field forward.
My CV has more details.
Graduate Certificate in Data Mining and Applications, 2015
Stanford University
PhD in Mathematics, 2011
Monash University
MSc Preliminary in Mathematics, 2007
Monash University
BSc Eng. in Computer Science and Engineering, 2002
University of Moratuwa
Tools for spatio-temporal data exploration - an R package.
Network anomaly detection - an R package.
A collection of ensembles for outlier detection - an R package.
Leave-one-out kernel density estimates for outlier detection - an R package.
Outliers in univariate, multivariate and compositional time series - an R package.
Algorithmic IRT - an R package.
Event detection and early classification for streaming data - an R package.
Dimension reduction for outlier detection - an R package.