I am currently employed at Google.
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 discoved my love a big data and data science. I was fortunate to have the oppertunity 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.
Before gradschool, 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.
In my spare time I often write scripts and applications. Most notably, I wrote a Writing Sample Analyzer, which predicts reading ease based on Flesch, Fog and Flesch-Kincaid approximations. The Analyzer receives approximately one hundred hits a day, and was donated to the Logan Utah Public Library for their Adult Literacy Group. I also have a small blog on SKTyler.com
EducationUniversity of California, Santa Cruz (UCSC)
Santa Cruz, CA
School of Engineering
Doctor of Philosophy (PhD), Computer Science (December 2013)
Carnegie Mellon University (CMU)
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
- National Science Foundation (NSF) Fellowship
- Cota Robles Fellowship
- Phi Beta Kappa
- National Society of Collegiate Scholars
Phone: (209) 789-5379