About

Research

I am a PhD student in the Computing and Information Sciences program at Rochester Institute of Technology. I am part of the Data Lab led by my advisor Dr. Michael Mior. My work focuses on  NoSQL Data Integration.

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Schema discovery is finding the structure of data. It helps users understand the meaning of data and write queries to manipulate it. This is typically easy for relational databases, but complex for non-relational (NoSQL) databases with JavaScript Object Notation (JSON) documents. JSON is a representation of documents that contain objects stored in the form of nested key-value pairs. For relational databases, the schema is predefined because the data they contain is structured, but for NoSQL databases, data is usually unstructured or semi-structured. In a collection of JSON documents, the structure of one document can be completely different from another. Several algorithms were developed to discover schemas from JSON documents, but they provide the physical structure and semantic information that is insufficient for data understanding and analysis. My work aims to develop algorithms to enhance the quality of discovered JSON Schemas by uncovering hidden data.

Fun Facts

I like to cook and bake. I frequently visit fine-dining restaurants to try new food. Moreover, my friends call me prehistoric because I mainly listen to classical music from the 17th century. I am fluent in French and English, and I am currently learning Spanish.