|Qin (Christine) Lv
Qin Lv is an associate professor in the Department of Computer Science, University of Colorado Boulder. She received a B.E. with honors from the Department of Computer Science & Technology, Tsinghua University in 2000, an MA and a Ph.D. from the Department of Computer Science, Princeton University in 2002 and 2006. Her Ph.D. thesis advisor was Professor Kai Li. Lv was a summer intern at Google Inc. (2002) and Microsoft Research Silicon Valley Lab (2003). Before joining University of Colorado, she also spent one year in Princeton University as a postdoc, and one year in the Computer Science Department, Stony Brook University as an assistant professor.
Qin Lv's research integrates systems, algorithms, and applications for effective and efficient data analytics in ubiquitous computing and scientific discovery. Topics of interest include mobile computing, social networks, spatial-temporal data, anomaly/misbehavior detection, similarity search, recommender systems, etc. Her research is interdisciplinary in nature and interacts closely with a variety of research domains including environmental research, Earth sciences, renewable and sustainable energy, materials science, as well as the information needs in people's daily lives.
For more information, please see the Research and Publications pages.
Qin Lv has developed and taught two new courses. One is a graduate-level advanced topics course on "Systems and Algorithms for Massive Data Applications", which has been renamed to "Big Data Analytics: Systems, Algorithms, and Applications". The other is "Data Mining", which is offered to both undergraduate and graduate students. These two courses are also offered through Be Boulder Anywhere (BBA) online education. Before joining University of Colorado, Qin Lv has taught two graduate-level courses at Stony Brook University (SUNY). She was also the teaching assistant for three undergraduate courses at Princeton University.
For more information, please see the Teaching page.