Shalini Priya

Postdoctoral Research Associate @ Ridge

About Shalini Priya

Shalini Priya is a Postdoctoral Research Associate at Oak Ridge National Laboratory, specializing in biostatistics. She holds a Doctor of Philosophy in Computer Science and Engineering from the Indian Institute of Technology, Patna, and has completed a Bachelor of Technology and a Master of Technology in related fields.

Current Position at Oak Ridge National Laboratory

Shalini Priya serves as a Postdoctoral Research Associate at Oak Ridge National Laboratory, a role she has held since 2022. In this position, she engages in advanced research activities, contributing to projects that align with the laboratory's focus on scientific innovation and technology development. Her work involves applying her expertise in biostatistics and computer science to various research initiatives.

Educational Background in Computer Science and Engineering

Shalini Priya completed her Doctor of Philosophy in Computer Science and Engineering at the Indian Institute of Technology, Patna, from 2016 to 2021. This five-year program provided her with a strong foundation in computational theories and practices. Prior to this, she earned her Bachelor of Technology in Computer Science from the Calcutta Institute of Technology, where she studied from 2010 to 2014.

Advanced Studies in Information Technology

Shalini Priya pursued a Master of Technology in Information Technology at the National Institute of Technology Durgapur from 2014 to 2016. This two-year program allowed her to deepen her knowledge and skills in information technology, preparing her for further academic and research pursuits. Her educational journey reflects a consistent focus on technology and its applications.

Postdoctoral Research in Biostatistics

After completing her doctoral studies, Shalini Priya engaged in postdoctoral research at Oak Ridge National Laboratory, specializing in biostatistics. This research tenure, which began in 2022, has allowed her to apply statistical methods to biological data, contributing to the advancement of research in this interdisciplinary field.

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