University of California, Santa Cruz (UCSC)
Santa Cruz, CA
School of Engineering
Doctor of Philosophy (PhD), Computer Science (December 2013)

Carnegie Mellon University (CMU)
Pittsburgh, PA
School of Computer Science
Bachelors of Science (BS), Computer Science (May 2004)
Minors in English and Mathematical Sciences

Areas of Interest

  • Data Science (Data Characterization/Data Analysis)
  • Information Retrieval
  • Statistical & Machine Learning

Fellowships & Honor Societies



Phone: (209) 789-5379
Skype: SKTyler

Social Media

Twitter: @sktyler
Linkedin: sktyler
Facebook: sktyler

About Me

As Chief Sarah at Sarah Tyler Data Sciences I use my data science and mathematical modeling background to build interesting, ad supported websites to fit niche interests. Most notabily, I run Datayze.

I received my doctorate in 2013 from University of University of California, Santa Cruz (UCSC.) My dissertation, Repetition and Diversification in Multi-Session Task Oriented Search, was supervised by professor Yi Zhang. While my primary focus was Personalized Search, I also explored how personalization can improve to Recommendation Systems, and Sponsored Search, as well as in the context of Social Networks.

While at UCSC I discovered my love of big data and data science. I was fortunate to have the opportunity to work for Yahoo!, Microsoft Research (MSR) and Bing with some of the best mentors in the world. Not only did we have a few paper publications and patent applications, but some of the projects I worked on shipped into production. After recieving my doctorate in 2013, I had the pleasure of working at Google for a year and a half before deciding to pursue my own company.

Before graduate school, I was employed at Lawrence Livermore National Laboratory (LLNL) for four years in the area of Information Retrieval and Natural Language Processing: primarily in Entity Extraction, Clustering and Classification. I was a key contributor on several projects and held a center wide consulting position. At LLNL, I co-founded and lead the Text Research Reading Group, a group whose primary focus is to keep abreast with the latest research in language technologies and closely related fields and am a member of the Text Analysis Working Group.