 Member of the Month, Dr. Su Chen, is an Assistant Teaching Professor in the Data to Knowledge Lab (D2K). Her doctoral research lies in the interaction of methodology, theory and computation of Bayesian statistics and their applications to high dimensional data analysis. She has experience developing and teaching both lower and upper division undergraduate courses in math, statistics and data science at UT-Austin and Texas A&M University.
What challenges do you see in your research that you didn't expect?
Right now, the biggest challenge for me is to transition from "supervised research" to "unsupervised research". I am currently exploring areas for future research, and actively looking for opportunities to collaborate!
What is a favorite experience with the Ken Kennedy Institute or describe a time the Ken Kennedy Institute supported you in the past?
I participated in the research “speed dating” event that the Ken Kennedy Institute organized with MD Andersen Cancer Center and it was great opportunity for collaborations, especially for someone like me who just started at Rice. I also find the monthly luncheon talks very interesting and I love to hear about research using data science across disciplines and get to know my colleagues!
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