Dr Olga Anosova

I'm a data scientist developing the emerging area of Geometric Data Science and applications. My PhD from Moscow State University was devoted to foundational results on invariant manifolds in dynamical systems.

Later work developed invariant theory to crystallography, applying complete, continuous, and polynomial-time invariants for classifying periodic point sets and crystal structures under rigid motion and isometry, leading to efficient geometric representations and predictive models. I collaborate with other departments and universities on Data Science applications in other areas as well.

Throughout my career, I have been deeply engaged in teaching on all levels, from outreach to PhD training activities. Since 2019, I'm involved in development and delivery of Data Science PhD training for the diverse cohorts of students from several departments and CDTs.

Throughout my career, I have been deeply engaged in teaching at all levels, from outreach activities to PhD training. Since 2019, I have been involved in the development and delivery of Data Science PhD training for diverse cohorts of students from several departments and CDTs. My goal is to support students from a wide range of backgrounds and help them thrive in research-oriented environments.