OPPORTUNITIES FOR UNDERGRADUATE AND M.A. STUDENTS

Victor De la Peña
Students will have the possibility of working on projects involving applications of Probability and Statistics to Problems in Earth Sciences including projects such as the tele-conections between El Nino and the Indian Monsoon.

Andrew Gelman
Several projects involving political science, economics, sociology, psychology, public health, and policy; for examples, see http://www.stat.columbia.edu/~gelman/blog/.

Ji Meng Loh
Current theories in cosmology attempt to describe the evolution of the universe from its beginning to its present state. In particular, comoslogists are interested in the understanding the clustering of matter that exists in the universe today and how this clustering may have developed from the universe's original homogeneous state. By studying the clustering properties of matter in the universe today, we can differentiate between the various cosmological theories. Furthermore, these theories depend on certain parameters that describe fundamental properties of the universe (e.g. the matter density). The values of these parameters are still uncertain. By comparing the clustering of matter predicted by the theories with the observed clustering, we can estimate the values of these parameters.

This goal of this project is to study current methods for estimating clustering and to develop methods for improved estimation. The student involved with this project will mainly conduct statistical analyses on existing datasets (such as galaxy surveys) as well as run simulation studies to compare current and new methods of estimating clustering.

Requirements - knowledge of statistics, experience with programming (e.g. in C, R or matlab). Interest in astronomy a plus.

Daniel Rabinowitz
A variety of opportunities for supervised experience in data analysis in support of research projects in the Arts & Sciences, the School of Public Health, the School of Social work, and the Medical and Nursing Schools.

Jan Vecer
Statistics in Sports: Projects for undergraduate students are available in the direction of statistics in sports. The students will get familiar with statistical techniques necessary for the analysis of sports data and apply it in one of the sports, such as in basketball, football, hockey, soccer, tennis, golf, etc.

Dr. Tian Zheng
Research experience for undergraduates/Master students: Projects from various areas in statistical genetics, bioinformatics, and computational biology are available for undergraduates and MA/MS students. Students who are interested should be comfortable with statistical inference concepts and basic computer programming.