Dr Sevvandi Kandanaarachchi

Sevvandi is an applied mathematician working in data science and analytics. She uses statistics, mathematics and machine learning for her research. Her main research interest is anomaly and event detection. Examples of anomalies include credit card fraud, intrusions in computer networks, malfunctioning sensors, stock market crashes and astronomical anomalies such as solar flares. It is important to identify these anomalies quickly because it enables us to act upon them.

Sevvandi likes working on real world problems, especially ones that are motivated by industry. She has experience working on industry and government projects. She came to machine/statistical learning from a pure mathematics background. Her PhD was in mean curvature flow, which lies in the intersection of partial differential equations and differential geometry. She likes to bring her geometric intuition to solve data science/analytics problems.