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molecular drivers. Develop AI agents and LLM-based computational workflows for biomedical research, including automated dataset discovery, quality assessment, multi-omics analysis, biological interpretation
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verified reference monitor on top of seL4 for the secure containment of AI agents. We will develop new mechanisms for dynamically controlling agents’ capabilities and information flows, together with machine
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verified reference monitor on top of seL4 for the secure containment of AI agents. We will develop new mechanisms for dynamically controlling agents’ capabilities and information flows, together with machine
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simulations that can aid in policy design. The Research Assistant will be work closely with the Principal Investigator and other group members on this project. Key Responsibilities Develop LLM-based agent
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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) [Appointment period: each for two to twelve months] Duties The appointees will assist the project leader in the project - “A large model based data agent for data science and artificial intelligence education
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Assistant (two posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Development of next-generation theranostic agents
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that can aid in policy design. The Research Fellow will work closely with the Principal Investigator and other project members on different aspects of the project including persona creation, agent
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in