Purvasha Chakravarti is a Ph.D. candidate in the Department of Statistics and Data Science, working under the supervision of Professor Larry Wasserman. Her research mainly focuses on developing new hypothesis testing, clustering and density estimation algorithms and applying them to science and technology.
Her research currently involves a novel clustering algorithm that comes equipped with a significance guarantee. Meanwhile, she is also working on tests to detect the presence of new physics particles in particle physics datasets. Previously, she has obtained a Masters in Machine Learning from Machine Learning Department at CMU and a Bachelors and Masters in Statistics from the Indian Statistical Institute, Kolkata.