Isabel received a BEng from UC and an MA in Education Policy from Stanford University. She is currently a PhD Candidate in Computer Science at UC-Engineering. Her research theme is the use of methodologies and analytical tools for continuous curriculum improvement in Higher Education. She has created qualitative and quantitative instruments for outcome assessment in enginering education. She has also evaluated policy efforts towards engineering diversity and undergraduate research.
His research focuses on areas of automated reasoning in Artificial Intelligence; specifically, automated planning, search and knowledge representation. Currently his research focuses on understanding how machine learning techniques can be applied to the intelligent decision-making process, on the applicability of reasoning techniques and learning to databases. He is also an assistant researcher at the Millennium Institute for Foundational Research on Data.
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