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| Position | Lecturer in Statistical Science |
| Phone (external) | 听 |
| Phone (internal) | 听 |
| Email(*) | p.chakravarti |
| Personal webpage | |
| Themes | Computational Statistics, General Theory and Methodology,听Environmental Statistics,听Multivariate and High Dimensional Data; Statistical Methods in High-Energy Particle Physics |
* @ucl.ac.uk
Biographical Details听
听Purvasha Chakravarti has been a Lecturer (Assistant Professor) in Statistical Science since June 2022 at 果冻影院. Previously, she was a Chapman Fellow in Mathematics in the Statistics听Section of theDepartment听of Mathematics at Imperial College London. She received a Ph.D. in Statistics from the听Department听of Statistics & Data Science听at Carnegie Mellon University,听under the supervision of Professor听Larry Wasserman. She completed her Bachelors and Masters in Statistics from the Indian听Statistical Institute听Kolkata.
Research Interests
Purvasha's research focuses on developing scalable and interpretable machine learning methods, with statistical significance guarantees, to analyze high-dimensional data. Specifically, her current research includes:
1. Inference for Clustering: developing and analyzing, both theoretically and empirically, high-dimensional clustering algorithms with significance guarantees.
2. Signal Detection in Particle Physics: developing tests that can detect听new听signals in particle physics data sets in model-independent and model-dependent settings.
3. Interpretability of High-dimensional Classifiers: developing active subspace search to model the surface of the classifier, identify directions with the most variability, and identify relationships between
features that influence the classifier.
Selected publications
Purvasha's full publication list can be found at听.
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