Research in Statistical Science
The students and faculty in the Statistical Science program carry out world-class research in the foundations and applications of statistics and data science. Their work has been funded by a variety of federal agencies, including the National Science Foundation (NSF), the National Institutes of Health (NIH), the Nacional Oceanographic and Atmospheric Agency (NOAA), the National Aeronautics and Space Administration (NASA), the Department of Defense (DOD) and the Department of Energy (DOE). Most of these projects provide graduate student support in the form of Graduate Student Assistantships (GSRs).
The work carried out by our students and faculty is published in the top statistics journals. These are some examples of recent papers by our faculty; you can learn more about the work in which our faculty is involved by exploring their personal websites.
- Francom, D., Sansó, B., Kupresanin, A., & Johannesson, G. (2016). Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines. Statistica Sinica.
- Guhaniyogi, R., Qamar, S., & Dunson, D. B. (2017). Bayesian tensor regression. The Journal of Machine Learning Research.
- Lee, J., Thall, P. F., & Rezvani, K. (2018). Optimizing natural killer cell doses for heterogeneous cancer patients on the basis of multiple event times. Journal of the Royal Statistical Society: Series C.
- DeYoreo, M., & Kottas, A. (2018). Modeling for dynamic ordinal regression relationships: an application to estimating maturity of rockfish in California. Journal of the American Statistical Association.
- Lofland, C. L., Rodríguez, A., & Moser, S. (2017). Assessing differences in legislators’ revealed preferences: A case study on the 107th US Senate. The Annals of Applied Statistics.
- Yu, C. H., Prado, R., Ombao, H., & Rowe, D. (2018). A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI. Journal of the American Statistical Association.
Not surprisingly, faculty and students also regularly present their work at some of the top Statistics and Computer Science conferences in the world (the Joint Statistical Meetings, the ISBA World Meeting and the Conference on Neural Information Processing Systems) and academic departments across the world. We consider student participation in conferences and workshops an integral piece of their academic training and the faculty works to secure funding for their attendance.
UCSC's location next to Silicon Valley offers a number of research and employment opportunities to our students and faculty. Many of our faculty regularly consult and our students usually take summer internships in various Bay Area companies. Sometimes, work that starts as part of an internship becomes part of the student's dissertation, and students are often hired by the companies they intern for. You can learn more about some of these opportunities by reviewing our alumni page.
UCSC's location also facilitates interactions with other researchers from across the world. The Statistics Department hosts a weekly seminar series that brings in speakers from the across the world. The department also regularly hosts outside visitors from across the world for short and medium term stays. You can see upcoming seminars and events on the Department's webpage. Students are encouraged to interact with speakers and visitors and often serve as hosts for meals and other events. Finally, the our faculty regularly organizes conferences and events that bring visibility to the campus and the programs. For example, our faculty has been organizing a series of NSF/CBMS summer conferences over the last 10 years; you can see details for the most recent here.
Opportunities for Interdisciplinary Collaborations
The research carried out by our students and faculty is highly interdisciplinary. We collaborate with computer scientists, mathematicians, physicists, social scientists, ecologists, biologists and medical doctors to develop novel methodology that advances our ability to make decisions on the basis of data in the context high-impact, real-life applications. In addition, our faculty and students are also affiliated with a number of institutes and centers on campus:
- The Data, Discovery and Decisions (D3) Research Center, which provides a platform for collaboration between industry and academia in the emerging field of data science.
- The Center for Analytical Finance (CAFIN), a collaboration between faculty in the Economics and Statistics departments that aims at producing cutting edge research with practical applications in the area of finance and financial markets.
- The UC Santa Cruz TRIPODS project, which brings together researchers from mathematics, statistics, and computer science to develop a unified theory of data science applied to uncertain and heterogeneous graph and network data.
- The Center for Statistical Analysis in the Social Sciences (CSASS), whose mission is to facilitate the use and training of statistical, psychometric, and computational methods in social science research.
In addition our faculty maintains a close relationship with various National Laboratories, including Lawrence Livermore National Lab (LLNL), Los Alamos National Lab (LANL) and Sandia National Lab (SNL).