Mohita Chowdhury is a Research Engineer at Google DeepMind working on the Gemini model. She previously spent over four years at Ufonia, where she led AI R&D for clinical voice agents that have served over 50, 000 patients. She holds an MSc in Computer Science from the University of Oxford.
She is passionate about the application of AI in regulated industries, particularly healthcare, and has participated in panel discussions on the topic of Generative AI. Mohita actively encourages hiring and team building, often sharing opportunities and inviting professionals to connect.
Unique Fact: She has co-authored research on whether large language models can safely address questions from patients following cataract surgery.
Read the full overview →They don’t appreciate bells and whistles unless backed by data. They prefer to do logical analysis and value evidence over emotions. They are quite likely to negotiate on pricing or other key terms.
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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