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Phil Tinn

Research Scientist

Machine Learning for Complex Systems, Security & Defence, and Extreme Environments.


M.S. in Computer Science, UT Austin
M.C.P. in Transportation & Urban Information Systems, MIT
B.A. in Interdisciplinary Studies, UC Berkeley
Diplôme (1er), Sciences Po Paris

Competence and research areas

Graph Neural Networks, Neuro-symbolic AI, and Multimodal Learning, and Human-AI Collaboration.


Contact info

Visiting address:
Strindvegen 4