“I like to think of myself as a Math Geek interested in words and a Word Nerd interested in math,” Sarah Tyler, NSF Graduate Research Fellowship Awardee, has said about herself. Growing up, having to overcome struggles with dyslexia, she was put into remedial classes for some subjects, only to prove herself extraordinary in others.
Tyler received her Bachelors of Science Degree in Computer Science at Carnegie Mellon University in 2004. Currently attending the University of California, Santa Cruz, Tyler is enrolled in the School of Engineering, pursuing a Doctor of Philosophy Degree in Computer Science. Her focus of study is Personalized Search, as it relates to Recommendation Systems, Sponsored Search, and Social Networks. Other areas of interest include Knowledge Representation, Statistical and Machine Learning, and Information Extraction.
Photo courtesy of Sarah Tyler
Before graduate school, Tyler worked for the Lawrence Livermore National Laboratory where she worked with Information Retrieval and Natural Language Processing, as well as co-founded and led the Text Research Reading Group, a group seeking to stay side by side with language technology’s latest research. In her graduate career to date, she has interned for Microsoft Research and NEC Labs America.
Tyler says, “Most notably, I wrote a Writing Sample Analyzer, which predicts reading ease based on Flesch, Fog, and Flesch-Kincaid approximations.”
Sarah Tyler has been honored with numerous fellowships and awards beside the NSF GRFP. These include a Cota Robles Fellowship, awards from the Computing Research Association, as well as various awards from the Lawrence Livermore National Laboratory and Carnegie Mellon University.
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