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I am a mathematician working on data science related topics such as anomaly detection, meta-learning and streaming data. I conduct research on theoretical and real-world problems. For example, visualizing anomalies in high dimensions is a very tricky business. How can we reduce dimensions in a way that anomalies are highlighted or brought to the forefront? (For details, see dobin).
I come to statistical learning from a pure mathematics background. My PhD was in mean curvature flow, which lies in the intersection of partial differential equations and differential geometry. I like to bring my geometric intuition to solve data science problems. More details can be found on my CV.
Graduate Certificate in Data Mining and Applications, 2015
PhD in Mathematics, 2011
MSc Preliminary in Mathematics, 2007
BSc Eng. in Computer Science and Engineering, 2002
University of Moratuwa