Shraddha Piparia, Ph.D.

Computational Genomics & Pharmacogenomics

Machine learning for pharmacogenomics and patient stratification

I work on molecular subtyping and genotype-based representations to understand why patients respond differently to therapy, with applications in asthma and immune-mediated disease.

Experience

Postdoctoral Scientist: University of California San Diego, USA (November 2021 - Present)

Computational genomics and pharmacogenomics research focused on patient stratification, molecular subtyping, and machine learning–based analysis of large-scale genotype and multi-omic data.

Application Developer: Oracle India Private Limited®, Telangana, India (June 2013 - July 2016)

Built and maintained features for Oracle Cloud Enterprise applications, including Oracle Project Portfolio Management.

Designed and implemented Build Verification Tests (BVTs) to ensure software reliability and production readiness.

Developed a sentiment analysis tool to predict project success or failure from enterprise communication data in Oracle Social Network (OSN), applying machine learning techniques to improve search quality and information retrieval in Oracle cloud applications.

Education

Doctor of Philosophy in Computer Science, University of North Texas, Texas, USA. Focus: Machine learning and probabilistic modeling for discovering structure in complex, event-driven data, including sequence modeling with CRFs and neural networks.