Khyathi Raghavi Chandu

I am an AI Research Scientist at Mistral AI, based in Palo Alto. My research centers on developing and training large-scale models—ranging from 3B, 24B to 123B parameters—with a focus on two key directions:

🎧 Multimodality with Voxtral: a family of open-source audio–language models.

🧠 Reasoning with Magistral: a line of large-scale reasoning models.

A core part of my efforts is advancing open-source research and releases to make these capabilities broadly accessible to the community.

Previously, I was part of the Mosaic team at the Allen Institute for AI, working in Yejin Choi’s group, and also worked as a Research Scientist at Meta AI. I earned my Ph.D. from Carnegie Mellon University at the Language Technologies Institute, where my research centered on grounded multimodal long-form generation, advised by Alan W. Black, Eric Nyberg, and Yonatan Bisk.

Get in touch if you want to chat, I’m open to collaborations or brainstorming!

I am fortunate to have been selected as a Rising Star by UC Berkeley. I am very passionate about DEI and co-chaired Academic Inclusion sub-committee multiple years at ACL 2020, ACL 2021, NAACL 2022 and co-organized Widening NLP in 2020 and 2021. I am very active in participating in community activities, organized several *CL workshops at conferences and served as Area Chair at COLM 2024, ACL ARR (Feb, Apr, June) 2024, and AACL 2023. I am fortunate to have worked with amazing researchers in my past internships at Google, Apple and Meta.