Monica Crubezy is a seasoned Research IT Director at Johns Hopkins University, with over 20 years of experience leading technology solutions at top-tier research institutions. Holding a Ph. D. in Informatics and Artificial Intelligence, she is an expert in AI knowledge systems, data-driven decision-making, and fostering cross-organizational partnerships to advance complex academic and research missions.
Outside of her primary role, Monica is passionate about art, performance arts, reading, hiking, and traveling with her family. She is fluent in French and English and conversational in Spanish, reflecting her international background and collaborative spirit. Her professional interests extend to interdisciplinary collaboration and the ethical implications of technology in research.
Unique fact: Monica served as the National Chair-Elect and is the Immediate Past Chair for the AAMCs Group on Information Resources (GIR) Steering Committee.
Read the full overview →They are not very likely to become strong advocates of your product or service They have a unique set of diverse traits where they are decisive and methodical but can sometimes be extra cautious and skeptical They focus on the results, but can still be quite procedural and analytical about how to get there
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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