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Biography

Deeksha Arya is a PhD student in The McGill Software Technology Lab in the Computer Science department at McGill University. She is supervised by Professors Jin Guo and Martin Robillard. Her research focuses on the software documentation landscape and its role in the education of computer science. She is also interested in the meaningful application of natural language processing and machine learning in software engineering research to help programmers learn software technologies.

In 2019, Deeksha completed her M.Sc. in Computer Science at McGill University. In her thesis, she studied the information correspondence between API reference documentation and tutorials, to provide insight on the complementary content in different documentation types.

Prior to this, Deeksha worked for three years at Infibeam.com, after having received her B.E. in Information Science from M.S. Ramaiah Institute of Technology.

Deeksha is also a professional Indian classical dancer, having trained in Bharatanatyam for over 20 years and in Mohiniattam for seven. She also loves to travel, and her weekends are packed with dance and destinations.

Connect with her:

Email: [email protected]

Twitter: @DeekshaMArya

deekshaarya4's Projects

convis icon convis

ConVis: A Visual Text Analytic System for Exploring Blog Conversations

myroundcube icon myroundcube

Automatically exported from code.google.com/p/myroundcube

node-beginners icon node-beginners

A simple nodejs-express-mongoose-jade app which implements CRUD operations on a db

prereq-iaai-19 icon prereq-iaai-19

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

seai icon seai

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

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