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Paromita Dubey

  • Assistant Professor of Data Sciences and Operations
 

Paromita Dubey is an assistant professor in the DSO department at the USC Marshall School of Business. Her research centers around developing statistical methods and inference for non-Euclidean data, examples being distribution and network valued data. She is also working on addressing challenges in the analysis of dynamic time-evolving data, particularly in non-Euclidean and high dimensional settings. The goal of her research is to create easily implementable and theory-backed off the shelf methods for practitioners. She received the Zumberge Individual Research Award in 2022.

Paromita Dubey
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Departments

Data Sciences + Operations

NEWS + EVENTS

AWARDS

  • Geometry Aware Exploratory Data Analysis and Inference Methods for Complex Data

    Issuer

    National Science Foundation

    VISIT SOURCE

COURSES

Spring 2024
  • DSO-530
    Applied Modern Statistical Learning Methods
    Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.