Brihi Joshi

I am a 4th year CS PhD Candidate at the University of Southern California, advised by professors Xiang Ren and Swabha Swayamdipta as a part of the NLP Group, INK Lab and Dill Lab. I am also interning part-time at Apple, with Tim Paek and Rik Koncel-Kedziorski.

Broadly, my research interests lie around asking: How can AI systems improve users’ knowledge acquisition? Traditionally, AI has been designed to assist humans in achieving well-defined objectives (e.g. code debugging). However, as AI gets better on these well-defined tasks, it is essential to explore how these systems can serve as partners in knowledge acquisition — helping humans think, learn, and explore ideas more effectively. To this end, I look at modelling and evaluating AI utility for such knowledge acquisition tasks. My research is supported by the USC Annenberg, 2023 Amazon ML and 2024 Apple Scholars in AI/ML Fellowships.

Prior to this, I was an Analyst at Goldman Sachs where I worked with the Regulatory Engineering team. Even before that, I graduated with a Bachelors in Computer Science from IIIT Delhi where I did research with Laboratory for Computational Social Systems (LCS2), Snap Research and IBM Research India.

Apart from pursuing my academic interests, I am extremely passionate about serving the community. I used to co-lead the Delhi chapter of Women Who Code Delhi, which was an organisation that works towards diversity and inclusion of women in tech, for more than 5 years. Currently, I am one of the organizers of the NLP with Friends. I am a huge advocate of diversity in CS Research and general mentoring, and always looking for opportunities to support them. Head over to the outreach & mentorship tab for more details. I am also a musician by passion and absolutely love singing and composing music. I’ve tried my hands at multiple instruments (and I plan to master some, explore more).