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VIGRE
Training VIGRE
Postdocs
Carnegie Mellon Links: |
VIGRE Research Groups The real strength of the VIGRE Program in Statistics at Carnegie Mellon is in the many vertically integrated, interdisciplinary research groups in our department. These groups attract funding from the National Science Foundation, National Institutes of Health, Census Bureau, Institutes of Educational Research, etc., to provide support for VIGRE postdoctoral fellows, graduate fellows, and undergraduate research projects. Ideally these groups involve all four levels of statistics researchers at once: faculty, postdoctoral fellows, graduate students and undergraduates, so that mentoring and apprenticeship is not just a relationship with the senior faculty but happens within and between groups of trainees as well. Here are some examples of ongoing and recent projects that support VIGRE trainees in our department. Note: Although they are not listed, each project also involves the active participation of faculty and students in other departments and disciplines. Adolescents at Risk for Substance Use Disorders. This project is using fMRI to study differences in neurodisinhibition of adolescents at risk for SUD. The subjects are part of a large longitudinal case-control neurocognitive study of the etiology of SUD. A subset of the large study are part of this longitudinal imaging study.
Affymetrix Microarray Analysis. This project
is studying the laser scanned images produced by
Assistments. R&D project to develop computer-based tutors for middle school mathematics that assess students' progress toward end-of-year accountability standards while helping students learn.
Astrostatistics. This is a wide-ranging project involving statisticians, astrophysicists, and computer scientists. The goal is to develop statistical methods for analyzing large, astrophysics data sets.
Bayesian Shrinkage Estimation in Spiral MRI. This project is developing a reduced mean-square error method of reconstructing MR images collected with a spiral pulse sequence. A novel feature is that the Bayesian model includes an autoregressive component.
cDNA microarray analysis. This project is focused on identifying and removing sources
of
Combining Information in Biostatistics. This project is concerned with issues and methods related to combining information from diverse, complementary studies e.g., randomized controlled clinical trials, epidemiologic studies, survey data.
Differential Gel Electrophoresis. This project is developing a method for identifying and quantifying different protein spots on two-dimensional gel pairs. We have developed a model which accounts for a large amount of the systematic variation in the image pairs. We are currently developing a method for locating and quantifying the spot differences.
Emotional Regulation in Childhood Depression This project involves analysis of data from a multi-investigator project on markers of childhood depression.
Image Registration Using Mutual Information. This project is developing a three-dimensional rigid body
image
Instructional Quality Assessment. Development and testing of rating scales for observing instruction
at
Methodology for the National Long Term Care Survey. Activities in the Statistics Department at Carnegie Mellon related
to
Network Learning Group. The group focuses on probabilistic methods for network analysis, paying special attention to model design and computational issues of learning and inference. We are bringing together statistical network modeling researchers from different communities---statistics, computer science, physics, sociology, psychology, public policy, etc.-- thereby fostering collaborations and intellectual exchange. Our hope is that this will result in novel modeling approaches, diverse applications, and new research directions.
Neuroimaging. Project goal is to improve neuroimaging methodology, especially by attemping to remove artifacts of voluntary and involuntary motions of the subject in live human and animal subjects.
Neurostatistics. This project focuses on the development of statistical methods for analyzing neurophysiological data.
NISS Digital Government II Project. Activities in the Statistics Department at Carnegie Mellon related to the Digital Government II Project centered at the National Institute for Statistical Sciences (NISS), a large-scale, cross-disciplinary research and development effort focusing on three interacting challenges driven by the release and use of large-scale government data bases: data confidentiality, data quality and data integration.
Statistical Analysis of Neuronal Data. Development of statistical methods for assessing covariation among multiple neurons recorded simultaneously from a behaving animal, and for assessing covariation between a single motor cortical neuron and a corresponding muscle group.
Statistics and the Law. Various applications of statistics in legal issues, including
wrongful
Sports Related Concussion. This project is part of a large prospective longitudinal case-control study of the effects of mild concussion on athletes. Many tens of thousands of high school athletes take a neurocognitive test before the sports season. An injured athlete repeats the test and also undergoes functional MRI testing. After symptoms return to normal as determined by lack of symptoms and neurocognitive test scores, the fMRI is repeated.
The Study of Magnetoencephalography (MEG). This project involves using MEGs to study the differences between “normal” individuals and concussed individuals. We would like to see if we can find a neurological difference when putting them through the same task (in this case, an n-back recall situation).
Two-photon Laser Scanning Microscopy. This project is developing methods to account for the effects of the cardiac cycle on the images that are collected. The biological problem is to learn about the development of ocular dominance columns in the neonatal ferret. The images are collected in vivo. There are typical five or more heartbeats during the collection of one slice creating movement on the scale of ten pixels or so.
Vestibular Ocular Reflex in Rats. This project is attempting to automatically identify labeled
neurons
Weekend Volatility Effects. The goal of this project was to examine financial time series
(daily
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