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I am an Applied Researcher working in the AI group at LinkedIn. I have accrued research experience in Industry and academia in areas of Machine Learning, Data Mining and Computer Vision. Outside of R&D work, I love engaging with the larger technical community, via writing and speaking and serving on the organizing committee of workshops and conferences. I have published and helped organize various academic and industry conferences including KDD, NIPS and GHC.  I am also passionate about mentoring and supporting women in tech via outreach events with organizations like Hackbright Academy, Technovation. Follow me on Twitter at @shivanigrao

more about me
Whats new with me?
July 2021: My retrospective paper on Retrieval from software libraries for bug localization: A comparative study of generic and composite text models - A Retrospective was published in ACM Software Engineering Notes in July 2021.May 2021: I will be serving as a Program Committee member of the ASE (Automated Software Engineering) Industry track for 2021. 
Jan 2021: One my early papers in the field of Mining of Software Repositories (MSR) has been nominated as the "Most Influential paper" of the past decade. Look out for the retrospective article.
April 2020: I will be serving as the Co-chair of the GHC Data Science Track for GHC 2020
Sept 26, 2019: I will be presenting our work on Modeling and Prediction for Online Education at the Bay Area Learning Design & Technology Meet Up hosted at LinkedIn
Aug 16, 2019: I will be presenting our work on "Learning to be Relevant",  Evolution of a Course Recommendation System" at CIKM 2019, Beijing, China pdf
Aug 2, 2019:  I will be doing a live chat with PowerToFly about "What is Data Science and how to break into the industry". ​
March 2, 2019: I will be presenting at Baylan 2019 on AI for online education.
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