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 This library takes inspiration, builds upon, and uses pieces of code from several open source codebases. These include [Kuan-Hao Huang's deep active learning repository](https://github.com/ej0cl6/deep-active-learning), [Jordan Ash's Badge repository](https://github.com/JordanAsh/badge), and [Andreas Kirsch's and Joost van Amersfoort's BatchBALD repository](https://github.com/BlackHC/batchbald_redux). Also, DISTIL uses [Apricot](https://github.com/jmschrei/apricot) for submodular optimization.
 
 ## Team
-DISTIL is created and maintained by Nathan Beck, Durga Subramanian, [Apurva Dani](https://apurvadani.github.io/index.html), [Rishabh Iyer](https://www.rishiyer.com), and [Ganesh Ramakrishnan](https://www.cse.iitb.ac.in/~ganesh/). We look forward to have DISTIL more community driven. Please use it and contribute to it for your active learning research, and feel free to use it for your commercial projects. We will add the major contributors here.
+DISTIL is created and maintained by Nathan Beck, [Durga Sivasubramanian](https://www.linkedin.com/in/durga-s-352831105), [Apurva Dani](https://apurvadani.github.io/index.html), [Rishabh Iyer](https://www.rishiyer.com), and [Ganesh Ramakrishnan](https://www.cse.iitb.ac.in/~ganesh/). We look forward to have DISTIL more community driven. Please use it and contribute to it for your active learning research, and feel free to use it for your commercial projects. We will add the major contributors here.
 
 ## Publications