Aakanksha is a Member of Technical Staff on the Safety team at Cohere, focusing on multilingual AI safety and model merging. A graduate of New York University with a Masters in Science, her work involves red-teaming language models to address global and local harms across many languages.
She is passionate about the intellectual freedom of research, enjoying the daily process of experimentation and discovery. In her university days, she co-developed an "emotion-based music player" for a hackathon, showcasing an early interest in creative and user-centric technology applications.
Her first first-author research paper on multilingual AI safety was accepted at the prestigious EMNLP 2024 conference.
Read the full overview →They like to do things independently and don’t look for support from others. They choose to analyze logically and value facts to emotions. They don’t appreciate bells and whistles unless backed by data.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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