Available/Potential Project Topics Professor   Social network models. Agent-based models David Banks   Bayesian decision theory Jim Berger   (1) Forest responses to global change-exchange of water, CO2, and energy   (2) Impact of co-infection of multiple pathogens on multiple hosts   (3) Inference on demography and health of natural populations James Clark   (1) Model uncertainty in statistics   (2) Applications in neuroscience, astronomy, environmental statistics Merlise Clyde   Statistical models for studying exposure disease relationships David Dunson   (1) Modelling and analysis for spatial data   (2) Statistics in environmental policy studies Alan Gelfand   Bayesian networks and computational biology Alex Hartemink   Statistical genetics Elizabeth Hauser   Statistical problems in genetics and cancer risk assessment Ed Iversen   (1) Bayesian variable selection in genome-wide association studies   (2) Causal inference in observational studies Fan Li   Statistical genomics Joe Lucas   Statistical analysis of extremes Elizabeth Mannshardt-Shamseldin   Probability and statistics on networks Jonathan Mattingley   (1) Statistics and genomics   (2) Statistical machine learning Sayan Mukherjee   Statistics in sports Garritt Page   (1) Statistics in policy and government: Data confidentiality   (2) Casuality Jerry Reiter   (1) Statistical estimation in scientific models: biology, chemistry, and physics   (2) Statistics in finance and decision making/portfolio theory   (3) Simulation and statistical inference for SDEs Scott Schmidler   Statistical methods for the analysis of clinical trials and data in the health sciences Dalene Stangl   (1) Nonparametric statistics   (2) Statistics in the neurosciences Surya Tokdar   (1) Time series and financial applications   (2) Time series and neuroscience applications   (3) Graphs and graph theory in statistics Mike West   (1) Heavy-tailed distributions and statistical extremes   (2) Spatial statistics and random fields Robert Wolpert     Additional information: Students interested in research in statistical science and its applications should consider taking a relevant sequence of undergraduate courses. A one-year research project, developed under the mentorship of an ISDS faculty member and coupled with registration for STA 190S, is a requirement for the Major in Statistical Science. STA 190S as an elective counts towards the requirements for the Minor in Statistical Science.