Computational Bioscience Program, School of Medicine at the University of Colorado Denver: Core Faculty

The Computational Bioscience Program of the University of Colorado School of Medicine

Core Faculty

Lawrence Hunter, Ph.D.
Email: Larry.Hunter@ucdenver.edu
Home Page: http://compbio.ucdenver.edu/hunter/
Research Areas: Development and application of advanced computational techniques for biomedicine, particularly the application of statistical and knowledge–based techniques to the analysis of high–throughput data and of biomedical texts. Also, neurobiologically and evolutionarily informed computational models of cognition, and ethical issues related to computational bioscience.

Kevin Bretonnel Cohen, PhD
Email:Kevin.Cohen@gmail.com
Home Page: http://compbio.ucdenver.edu/cohen/
Research Areas: Entity identification and normalization, information extraction, corpus linguistics, and computational lexical semantics, particularly in the molecular biology domain.

Subhajyoti (Subho) De, PhD
Email: subhajyoti.de@ucdenver.edu
Home Page: http://www.sjdlab.org
Research Areas: Development and application of bioinformatics methods for analyzing genomics, epigenomcs and transcriptomic data. Genetic and epigenetic abnormalities incancer and pre-malignant conditions.

Robin Dowell, Ph.D.

Email: Robin.Dowell@Colorado.edu

Home Page:http://mcdb.colorado.edu/labs1/dowelllab/

Research Areas: Application of machine learning, probabilistic models, and pattern recognition to large high throughput genomic datasets.

Debra Goldberg, Ph.D.
Email: Debra@cs.colorado.edu
Home Page: http://www.cs.colorado.edu/~debra
Research Areas: Development of combinatorial and graph algorithms to solve problems in genomics, in order to help biologists determine the function of uncharacterized genes or proteins.

Carsten Görg, Ph.D.

Email: Carsten.Goerg@ucdenver.edu

Home Page: http://compbio.ucdenver.edu/goerg

Research Areas: Design, development, and evaluation of visualizations and visual analytics tools for supporting biologists in analyzing large and complex datasets. Also, application of text analytics research approaches to the biomedical literature.

Michael Kahn, M.D. Pd.D.

Email: Michael.Kahn@childrenscolorado.org

Research Areas: Dr. Kahn is interested in the integration of clinical research and electronic medical records for clinical quality improvement, decision support and clinical research. As Director of the CCTSI Informatics Core, Dr. Kahn is interested in distributed research networks for comparative effectiveness research. His area of informatics research also includes measures of data quality, data completeness, and data validation, especially across multi-institutional data sharing environments.

Katerina Kechris, Ph.D.
Email: Katerina.Kechris@ucdenver.edu
Home Page: http://csph.ucdenver.edu/Sites/Kechris/
Research Areas: Development and application of statistical methods for analyzing molecular sequences and high throughput genomic data.

Rob Knight, Ph.D.
Email: Rob@spot.colorado.edu
Home Page : http://www.colorado.edu/chem/people/knightr.html
Research Areas: Large scale genomic and microbial community analyses using a range of bioinformatics techniques, including phylogenetic methods, computational structure prediction, Monte Carlo simulations, Bayesian inference and finite-state automata.

Sonia Leach , Ph.D.
Email: LeachS@NJHealth.org
Home Page: http://www.nationaljewish.org/professionals/research/programs-depts/genetics-therapeutics/labs/sonia-leach/

Research Areas: Research in the area of probabilistic graphical models and genomic data fusion, particularly for the tasks of gene prioritization, developing protein interaction networks and discovery of novel disease-gene associations.

Catherine Lozupone , Ph.D.
Email: Catherine.Lozupone@UCDENVER.EDU
Home Page: Under construction in home department
Research Areas: Microbiology of the human gut and impacts on health. The development of bioinformatics techniques for analysis of marker gener and genomic sequence data.

Christopher Miller, Ph.D.
Email:Christopher.S.Miller@ucdenver.org
Home Page : http://www.ucdenver.edu/academics/colleges/CLAS/Departments/biology/AboutUs/ContactUs/DepartmentDirectory/Pages/ChristopherMiller.aspx
Research Areas: Genome-enabled and bioinformatic approaches to studying microbial communities. Novel experimental methods and computational algorithms for assembly and analysis of high-throughput sequencing data.

Tzu Phang, Ph.D.
Email: Tzu.Phang@ucdenver.edu

Home Page: http://compbio.ucdenver.edu/ccp/Hunter_lab/Phang/index.html

Assistant Professor in the Division of Pulmonary Critical Care Medicine at the Department of Medicine.
Research Areas: developing computational and statistical algorithms for analyzing microarray data, with special emphasis on time-course experimental design and alternative splicing detection. He works directly with scientists to translate biological concept into algorithm for rapid exploration and discovery. He is also interested in how best to share the vast bioinformatics and genomics resources between multi-disciplinary scientists.

Erica Bradshaw Pierce, Ph.D.
Email: Erica.pierce@ucdenver.edu
Home Page: http://www.ucdenver.edu/academics/colleges/pharmacy/Departments/PharmaceuticalSciences/DOPSFaculty/Pages/Bradshaw-PierceErica.aspx
Research Areas: Development and applicaton of quantitatie pharmacology approches in transitional medicine. This includes computational model building such as; quantitative systems pharmacology, multi-scale modeling, pharmacokinetic (PK)-pharmacodynamic (PD) modeling and simulation and the development of physiologically-based PK models.

David Pollock, Ph.D.
Email: David.Pollock@ucdenver.edu
Home Page: http://www.ucdenver.edu/academics/colleges/medicalschool/departments/biochemistry/Research/PrimaryFaculty/Pages/Pollock.aspx
Research Areas: Evolutionary genomics and molecular evolution, particularly the interaction between protein sequence, structure, function, and molecular co-evolution within and between proteins.

Michael Strong, Ph.D.

Email: StrongM@NJHealth.org

Home Page: http://www.nationaljewish.org/research/programs-depts/genetics-therapeutics/labs/michael-strong/index.aspx

Research Areas: Systems biology, genomics, and structural bioinformatics, particularly developing computational strategies to integrate genome sequence, gene expression, protein network, and protein structure information, with applications to respiratory diseases, including tuberculosis.