CMU LTI PhD Simran Khanuja hits industry job market with evals and multimodal research
simi_97k · x · 2026-11-02
Simran Khanuja, final-year PhD student at CMU's Language Technologies Institute advised by Graham Neubig, announced she's on the industry job market, spanning post-training, evals, alignment, and multimodality.
Her work covers three areas:
- LLM/multimodal evaluation: image transcreation (Best Paper, EMNLP 2024), long-tail speech understanding via FLEURS (Best Paper, SLT 2022), code-mixed GLUECoS
- Models/methods: MuRIL, Pangea, Cultural Pangea, inference-time steering, image-generation diversity (T-DIG)
- Data selection & synthetic data: data-efficient fine-tuning (DeMuX)
Honors include MIT EECS Rising Star and the CMU Waibel Presidential Fellowship.
Related event: CMU PhD Candidate Simran Khanuja Enters Job Market(2 posts)→
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