Dr Sevvandi Kandanaarachchi

Sevvandi is an applied mathematician working on statistical machine learning and data science research. She uses statistics, mathematics and machine learning for her work. She works on interdisciplinary projects and is keen to link different research topics to gain a deeper understanding. She is interested in anomaly detection, complex networks, spatio-temporal data, algorithm evaluation and algorithm fairness.

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 statistical machine 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 problems.