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 Graduate Training in Computation and Informatics in Biology and Medicine at the University of Wisconsin-Madison
Computation and Informatics in Biology and Medicine
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Faculty Trainers


Name / Email / Primary Department / Web Site Research Interests
Ansari, Aseem
ansari@biochem.wisc.edu
Biochemistry
http://www.biochem.wisc.edu/ansari/
Studying the regulation of gene expression at the interface of chemistry, biology, and genomics; dissecting genome-wide transcriptional cascades.
Assadi, Amir
assadi@math.wisc.edu
Mathematics
http://www.math.wisc.edu/~assadi/
Pure mathematics: differential topology, differential and algebraic geometry; applied mathematics: scientific omputation, visualization of geometric structures, inverse problems.
Attie, Alan
attie@biochem.wisc.edu
Biochemistry
http://www.biochem.wisc.edu/faculty/attie/
Genetics of type 2 diabetes; gene networks and diabetes
Beebe, David
dbeebe@engr.wisc.edu
Biomedical Engineering
http://www.engr.wisc.edu/bme/faculty/beebe_david.html
Development and use of cellular scale systems to study basic cellular processes such as stem/progenitor cell regulation/differentiation in the mammary gland
Blattner, Frederick
fred@genome.wisc.edu
Genetics
http://www.genetics.wisc.edu/faculty/blattner.html
Mechanisms of DNA replication, transcription, and recombination; DNA sequencing.
Block, Walter
wfblock@wisc.edu
Biomedical Engineering
http://www.engr.wisc.edu/bme/faculty/block_walter.html
Magnetic resonance (MR) interventional procedures; MR angiography and cardiac imaging - specifically designing real-time magnetic resonance acquisition and processing algorithms and systems for these procedures
Brennan, Patricia
pbrennan@engr.wisc.edu
School of Nursing; Industrial & Systems Eng.; Biostat & Med. Informatics
http://www.biostat.wisc.edu/faculty/brennan.html
The use of computer technologies in the home care of persons with complex health problems; the use of the Internet and multi-media to provide graduated, tailored home care support.
Broman, Karl
kbroman@biostat.wisc.edu
Biostatistics & Medical Informatics
http://www.biostat.wisc.edu/~kbroman/
Statistical problems in genetics, genomics, and molecular biology, particularly the development of improved methods for detecting and identifying genes contributing to variation in complex traits in humans and experimental organisms.
Burnside, Elizabeth
es.burnside@hosp.wisc.edu
Radiology; Dept. of Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/burnside.html
The use of computer techniques to improve the early detection of breast cancer; development of a Bayesian Network designed to assist radiologists in the post-discovery aspects of mammography: interpretation and decision-making.
Chung, Moo
mchung@stat.wisc.edu
Biostatistics and Medical Informatics
http://www.stat.wisc.edu/~mchung/
Statistics and image analysis.
Coen, Michael
mhcoen@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/People/faculty/coen.htm
Self-supervised machine learning. Biologically-inspired computation. Machine learning applied to cognitive and neuroscience. Automated segmentation of fMRI data.
Craciun, George
craciun@math.wisc.edu
Mathematics
http://www.math.wisc.edu/~craciun/
Mathematical and computational methods in biology and medicine
Craven, Mark
craven@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/craven.html
Machine learning methods applied to modeling and predicting elements of gene regulation; automated methods for biomedical text analysis.
Cui, Qiang
cui@chem.wisc.edu
Chemistry
http://www.chem.wisc.edu/main/people/faculty/cui.html
Computational/Theoretical Chemistry:
Computational biophysics; electronic structure; computational statistical mechanics; computational structural biology.
DeMets, David
demets@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/demets.html
Statistics methodology for data monitoring and interim analysis; design, monitoring and analysis of clinical trials.
de Pablo, Juan
depablo@engr.wisc.edu
Chemical and Biological Engineering
http://www.engr.wisc.edu/che/faculty/depablo_juan.html
Investigating thermophysical properties of fluids and solids at a molecular level and using molecular-thermodynamic models.
Dewey, Colin
cdewey@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/~cdewey/
Algorithms for problems in comparative genomics
Dyer, Charles
dyer@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~dyer/
Computer vision and image analysis. Medical image analysis problems in ophthalmology. Image-based modeling and rendering. Motion analysis
Ferris, Michael
ferris@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~ferris/
Developing software that converts nonlinear programs into complementarity problems without human interaction, using automatic differentiation techniques.

Gasch, Audrey
agasch@wisc.edu
Genetics
http://www.genetics.wisc.edu/faculty/profile.php?id=159

The genomics of yeast responses to environmental stress and starvation.
Gleicher, Michael
gleicher@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~gleicher/
Computer Animation, Video Processing, and Medical Visualization...to develop tools that help people express themselves in visual media, and to make these media more expressive, educational, and entertaining.
Gould, Michael
gould@oncology.wisc.edu
Oncology
http://mcardle.oncology.wisc.edu/faculty/bio/gould_m.html
Molecular genetics of mammary carcinogenesis and translation research in the area of breast cancer prevention and therapy.
Graham, Michael
graham@engr.wisc.edu
Chemical & Biological Engineering
http://www.engr.wisc.edu/che/faculty/graham_michael.html
Microstructural and multiscale simulations of complex fluids; Applied and computational mathematics
Keles, Sunduz
keles@stat.wisc.edu
Statistics; Biostatistics and Medical Informatics
http://www.stat.wisc.edu/~keles/
Computational biology and analysis of complex missing data structures.
Kendziorski, Christina
kendzior@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/kendziorski.html
Development and application of statistical methods for gene mapping and gene expression array studies.
Kreeger, Pamela
kreeger@wisc.edu
Biomedical Engineering
http://www.engr.wisc.edu/bme/faculty/kreeger_pamela.html
Systems biology; endocrine signaling
Livny, Miron
miron@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~miron/miron.html/
Developing management and scheduling techniques that empower high throughput computing on local and wide area clusters of distributively owned resources.
Mangasarian, Olvi
olvi@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~olvi/
Applications of mathematical programming to machine learning and data mining.
Markley, John
markley@nmrfam.wisc.edu
Biochemistry
http://www.biochem.wisc.edu/markley/index.html
NMR spectroscopy and its biological applications; structure function relationships in proteins; stable-isotope assisted multinuclear NMR spectroscopy; processing and analysis of multi-dimensional NMR data.
McCarty, Catherine
Senior Epidemiologist and Director, The Center for Human Genetics, Marshfield Clinic Research Foundation
http://www.marshfieldclinic.org/chg/pages/default.aspx?page=InvestigatorDetails&id=277
The Marshfield Clinic Personalized Medicine Research Project (PMRP): genetic discovery in the areas of genetic epidemiology, pharmacogenetics and population genetics
Mitchell, Julie
mitchell@biochem.wisc.edu
Biochemistry
Mathematics
http://www.biochem.wisc.edu/mitchell/
Computational analysis of protein interactions and macromolecular shape features
Newton, Michael
newton@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/newton.html
Developing statistical methods to address problems with the comparison of expression arrays.
Nowak, Robert
nowak@ece.wisc.edu
Electrical & Computer Engineering
http://www.ece.wisc.edu/~nowak/
Theory, algorithms, and applications in signal and image processing, pattern recognition, biomedical data analysis, networking, and wireless communications.
Page, C. David
page@biostat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/page.html
Data mining and machine learning, with applications to bioinformatics, chemoinformatics, and health sciences; inductive logic programming (ILP) and other relational learning techniques.
Palecek, Sean
palecek@engr.wisc.edu
Chemical and Biological Engineering
http://www.engr.wisc.edu/che/faculty/palecek_sean.html
Cellular engineering, intracellular signal transduction, cell and protein biosensors
Patel, Jignesh
jignesh@cs.wisc.edu
Computer Sciences
http://pages.cs.wisc.edu/~jignesh/
Building expressive, effective and efficient methods for querying and mining large biological datasets; graph analysis for biological networks; sequence analysis
Payseur, Bret
payseur@wisc.edu
Genetics
http://www.genetics.wisc.edu/faculty/profile.php?id=471
Population genetic processes that determine patterns and levels of variation throughout the genome, including natural selection, recombination, and mutations
Perna, Nicole
nicole@ahabs.wisc.edu
Genetics
http://www.ahabs.wisc.edu/Faculty/Perna-n/index.html
Development and application of genome-scale analysis tools to study molecular and organismal evolution
Phillips, George
phillips@biochem.wisc.edu
Biochemistry
http://www.biochem.wisc.edu/phillips/index.html
Structure and dynamics of proteins, computational biology; using X-ray crystallography and electron microscopy to elucidate the molecular structures of proteins.
Reed, Jennifer
reed@engr.wisc.edu
Chemical and Biological Engineering
http://www.engr.wisc.edu/che/faculty/reed_jennifer.html
Systems biology, metabolic model development and analysis, metabolic engineering, biofuels, bioremediation, and biotechnology.
Schwartz, David C.
dcschwartz@facstaff.wisc.edu
Chemistry/ Genetics
http://www.chem.wisc.edu/main/people/faculty/schwartz.html
Chemistry and biology of single molecule systems with applications to genomic science.
Senes, Alessandro
senes@wisc.edu
Biochemistry
http://www.biochem.wisc.edu/faculty/senes/default.aspx
Computational and experimental studies of integral membrane proteins folding and structure
Shavlik, Jude
shavlik@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~shavlik/shavlik.html
Machine learning and datamining applied to biomedical tasks such as microarray ("gene chip") analysis and design, protein-structure determination, and information extraction from on-line biomedical text.
Singh, Vikas
vsingh@biostat.wisc.edu
Biostatistics & Medical Informatics
http://www.biostat.wisc.edu/People/faculty/singh.htm
Biomedical image analysis, discrete optimization in computer vision and
learning in context of biomedical problems.
Smith, Lloyd
smith@chem.wisc.edu
Chemistry
http://www.chem.wisc.edu/main/people/faculty/smith.html
Development and application of novel bioanalytical tools.
Starren, Justin
Director, Biomedical Informatics Research Center
Marshfield Clinic Research Foundation
http://www.marshfieldclinic.org/birc/pages/default.aspx?page=InvestigatorDetails&id=854
Telemedicine, Informatics for Diabetes Education And Telemedicine (IDEATel), Human Computer Interaction
Sussman, Michael
msussman@wisc.edu
Biochemistry
http://www.biochem.wisc.edu/sussman/
Signal transduction in eukaryotes, development of genomic technologies, plasma membrane receptors and ion transporters, Arabidopsis thaliana.
Wahba, Grace
wahba@stat.wisc.edu
Biostatistics and Medical Informatics
http://www.biostat.wisc.edu/faculty/wahba.html
Development, testing and application of new methods for multivariate function estimation and statistical model building.
Wright, Stephen
swright@cs.wisc.edu
Computer Sciences
http://www.cs.wisc.edu/~swright
Computational optimization (interior-point methods, linear and nonlinear programming, and stochastic programming) and its applications
Yandell, Brian
yandell@stat.wisc.edu
Statistics
http://www.stat.wisc.edu/~yandell/
Statistical genomics; theoretical statistics; applications in selected areas of agriculture.
Yin, John
yin@engr.wisc.edu
Chemical Engineering
http://www.engr.wisc.edu/che/faculty/yin_john.html
Combined experimental-theoretical approaches for molecular virology, bio-informatics, pre-biotic chemistry, and systems biology.

 

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