Manli Shu is a Research Scientist at Google DeepMind focusing on multimodal LLMs, AI safety, and trustworthiness. A Ph. D. graduate from the University of Maryland, she has interned at NVIDIA and Google and was a researcher at Salesforce, contributing to projects like BLIP-3 and presenting extensively at major AI conferences.
Manli is deeply engaged with the AI research community, frequently presenting her work at top conferences like NeurIPS. She is passionate about discussing complex topics in her field, from vision-language models to the broader challenges and opportunities within a Ph. D. program, and is open to new collaborations.
Her research includes developing novel ways to understand model vulnerabilities, such as creating stealthy data poisoning attacks on vision-language models.
Read the full overview →They are very professional in their approach and can weigh multiple perspectives together. They might take some time to make their mind up but once they do, they don't change it easily. Reading between the lines and seeing beyond your words comes naturally to them.
Dominance (D) reflects how goal and task oriented a person is, and their ability to accomplish results irrespective of how demanding the circumstances might be. Those scoring high tend to be motivated by winning, competition, and success.
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