Manli Shu
Login to view DISC.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.
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