23-24 Amazon Fellow
Biography
Brihi Joshi is a third-year Computer Science Ph.D. student at the University of Southern California, advised by Prof. Xiang Ren as a part of the INK Lab and the broader NLP Group. In the past, she has worked with Amazon Alexa AI, Snap Research and Goldman Sachs on fundamental research and engineering problems. On the side, she is passionate about inclusivity in CS, and volunteers her time in various organizations like NLPWithFriends and Women Who Code.
Research Interests
My work focuses on human-grounded explainability - where explanations generated by NLP systems align with that of humans, and humans are involved in designing the way models explain. Motivated by this, my broad research goal is to incorporate human-centered explainability in NLP systems, inspired by how humans interact amongst themselves and with these systems, while also borrowing insights from other disciplines. I believe that this is a crucial foundation for establishing trust in NLP systems and operationalizing explanations for real-world use cases.
What does being an Amazon ML Fellow mean to you?
I am extremely honored to be named an Amazon ML Fellow. To be working on NLP in this atmosphere is challenging — not only because of the competition that it entails, but also because finding impactful problems to work on gets harder. The fellowship has motivated me to double down on my research goals of human-grounded explainability and focus on the impact that trustworthy systems in this age can bring.
