Hello! Thanks for visiting my site! ðŸ‘‹
I work on statistical machine learning and data science research. I am interested in many things. Lately, I’ve been interested in networks or graphs. There is a lot of cool mathematics related to graphs. Previously, I’ve worked on anomaly and event detection and algorithm evaluation. I still work on these topics, but somewhat less than I used to. There are more links between these topics than meets the eye. Sometimes linking different topics gives us better insights. It is fun when that happens. I also work on applications where AI is used in Science. This is a growing area, encompassing many topics and disciplines.
I am a Senior Research Scientist at Australia’s National Science Agency, CSIRO. My work website is here. 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.
I am a multi-disciplinary researcher, an applied mathematician by training. To give a bit of my background my PhD was in mean curvature flow, which is in the intersection of differential geometry and partial differential equations. There is a lot of mathematics in AI and machine learning. I love learning new mathematics and computer science concepts.
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
Predicting the structure of dynamic graphs - an R package.
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.