Shenghui (Vivian) Chen
Questioner · DISC type cShenghui is a Ph. D. candidate in Computer Science at the University of Texas at Austin, specializing in human-AI collaboration and multi-agent systems. Her research focuses on enabling intelligent agents to cooperate with humans under incomplete information. She earned her B. S. in Computer Science from the University of Virginia.
She is passionate about applying complex modeling to solve real-world challenges, having won a major award for creating an ecological services valuation model. Shenghui actively engages with the academic community, presenting her research at various seminars and international conferences like AAMAS.
Unique fact: She co-developed a model to understand the financial costs of land use projects on ecological services, winning an Outstanding Winner award.
Read the full overview →How Shenghui shows up
They are more likely than others to negotiate on pricing and terms. They prefer to fully evaluate every situation. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.
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Calculativeness (C)
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.
Other The University of Texas at Austin Employees
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