Our Team

CIDA believes in providing exceptional biostatistics support. From start to finish we stand behind the research we conduct and support. Our signature is on everything we do, therefore we are invested in each project, grant and partnership. We work hand in hand with the investigator to ensure that the right designs and analyses are used so we can help answer the the age old question, What’s in your data?

PhD biostatisticians

Katerina Kechris PhD

Professor, Associate Director of Data Science

Center for Innovative Design & Analysis
Department of Biostatistics & Informatics
Lifecourse Epidemiology of Adiposity & Diabetes Center

Email Address:katerina.kechris@cuanschutz.edu

Primary Phone:303-724-4363

View Website

View Research Profile

Mailing Address:

CU Anschutz

Fitzsimons Building

13001 East 17th Place

Mail Stop B119

Room 4162, 4th Floor

Aurora, CO 80045

Dr. Kechris' focuses on the development and application of statistical methods for analyzing -omics data sets from high throughput technologies. She has several focus areas: (1) analyzing transcription factor binding and miRNA data to study the regulation of transcription and post-transcriptional processing, (2) examining the genetic and epigenetic factors controlling gene expression, (3) exploring the metabolome and (4) integrating multiple omics data. Dr. Kechris collaborates with investigators studying chronic obstructive pulmonary disease in the COPDGene genetic epidemiology study, substance use disorders using animal models, and early life determinants of diabetes and obesity in children.

Areas of Expertise

Biostatistics
Bioinformatics
Data science
Genomics
Chronic obstructive pulmonary disease

Education, Licensure & Certifications

PhD, Statistics, University of California Berkeley, 2003
MA, Statistics, University of California Berkeley, 1999
BS, Applied Mathematics, University of California Los Angeles, 1997

Awards

Chancellor’s Teaching Recognition Award, University of Colorado Anschutz Medical Campus, 2020
Fellow, American Statistical Association, 2019
Excellence in Faculty Research Award, Colorado School of Public Health, 2017

Affiliations

Chair, Section on Statistics in Genomics and Genetics, American Statistical Association
Member, NIH Biodata Management and Analysis Study Section
Associate Editor, Biometrics

Research

NIH/NHLBI, Multi-omic Networks Associated with COPD progression in TOPMed Cohorts, 2020-2025, Role: Multi-PI (Kechris, Bowler, Lange, Banaei-Kashani)
NIH/NCI, Addressing Sparsity in Metabolomics Data Analysis, 2018-2022, Role: Multi-PI (Kechris, Ghosh)
NIH/NHLBI, Biomarker of Lung Disease in African Americans, 2018-2022, Role: Multi-PI (Bowler, Kechris)

Publications and Presentations

B. Vestal, C. Moore, E. Wynn, L. Saba, T. Fingerlin, K. Kechris (2020) MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics (1):375.
E. Mastej, L. Gillenwater, Y. Zhuang, K. Pratte, R. Bowler and K. Kechris (2020) Identifying protein-metabolite networks associated with COPD phenotypes. Metabolites 10:124.
T. Ghosh, W. Zhang, D. Ghosh and K. Kechris (2020) Predictive modeling for metabolomics Data. Methods Molecular Biology 2104:313-336.
WJ. Shi, Y. Zhuang, P. Russell, B. Hobbs, M. Parker, P. Castaldi, P. Rudra, B. Vestal, C. Hersh, L. Saba and K. Kechris (2019) Unsupervised discovery of phenotype specific multi-omics networks. Bioinformatics 35:4336-4343.
D. Reinhold, H. Pielke-Lombardo, S. Jacobson, D. Ghosh and K. Kechris (2019) Pre-analytic considerations for mass spectrometry-based untargeted metabolomics data. Methods Molecular Biology 1978:323-340.

Masters core biostatisticians

Katerina Kechris PhD

Professor, Associate Director of Data Science

Center for Innovative Design & Analysis
Department of Biostatistics & Informatics
Lifecourse Epidemiology of Adiposity & Diabetes Center

Email Address:katerina.kechris@cuanschutz.edu

Primary Phone:303-724-4363

View Website

View Research Profile

Mailing Address:

CU Anschutz

Fitzsimons Building

13001 East 17th Place

Mail Stop B119

Room 4162, 4th Floor

Aurora, CO 80045

Dr. Kechris' focuses on the development and application of statistical methods for analyzing -omics data sets from high throughput technologies. She has several focus areas: (1) analyzing transcription factor binding and miRNA data to study the regulation of transcription and post-transcriptional processing, (2) examining the genetic and epigenetic factors controlling gene expression, (3) exploring the metabolome and (4) integrating multiple omics data. Dr. Kechris collaborates with investigators studying chronic obstructive pulmonary disease in the COPDGene genetic epidemiology study, substance use disorders using animal models, and early life determinants of diabetes and obesity in children.

Areas of Expertise

Biostatistics
Bioinformatics
Data science
Genomics
Chronic obstructive pulmonary disease

Education, Licensure & Certifications

PhD, Statistics, University of California Berkeley, 2003
MA, Statistics, University of California Berkeley, 1999
BS, Applied Mathematics, University of California Los Angeles, 1997

Awards

Chancellor’s Teaching Recognition Award, University of Colorado Anschutz Medical Campus, 2020
Fellow, American Statistical Association, 2019
Excellence in Faculty Research Award, Colorado School of Public Health, 2017

Affiliations

Chair, Section on Statistics in Genomics and Genetics, American Statistical Association
Member, NIH Biodata Management and Analysis Study Section
Associate Editor, Biometrics

Research

NIH/NHLBI, Multi-omic Networks Associated with COPD progression in TOPMed Cohorts, 2020-2025, Role: Multi-PI (Kechris, Bowler, Lange, Banaei-Kashani)
NIH/NCI, Addressing Sparsity in Metabolomics Data Analysis, 2018-2022, Role: Multi-PI (Kechris, Ghosh)
NIH/NHLBI, Biomarker of Lung Disease in African Americans, 2018-2022, Role: Multi-PI (Bowler, Kechris)

Publications and Presentations

B. Vestal, C. Moore, E. Wynn, L. Saba, T. Fingerlin, K. Kechris (2020) MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics (1):375.
E. Mastej, L. Gillenwater, Y. Zhuang, K. Pratte, R. Bowler and K. Kechris (2020) Identifying protein-metabolite networks associated with COPD phenotypes. Metabolites 10:124.
T. Ghosh, W. Zhang, D. Ghosh and K. Kechris (2020) Predictive modeling for metabolomics Data. Methods Molecular Biology 2104:313-336.
WJ. Shi, Y. Zhuang, P. Russell, B. Hobbs, M. Parker, P. Castaldi, P. Rudra, B. Vestal, C. Hersh, L. Saba and K. Kechris (2019) Unsupervised discovery of phenotype specific multi-omics networks. Bioinformatics 35:4336-4343.
D. Reinhold, H. Pielke-Lombardo, S. Jacobson, D. Ghosh and K. Kechris (2019) Pre-analytic considerations for mass spectrometry-based untargeted metabolomics data. Methods Molecular Biology 1978:323-340.

PRA data manager

Katerina Kechris PhD

Professor, Associate Director of Data Science

Center for Innovative Design & Analysis
Department of Biostatistics & Informatics
Lifecourse Epidemiology of Adiposity & Diabetes Center

Email Address:katerina.kechris@cuanschutz.edu

Primary Phone:303-724-4363

View Website

View Research Profile

Mailing Address:

CU Anschutz

Fitzsimons Building

13001 East 17th Place

Mail Stop B119

Room 4162, 4th Floor

Aurora, CO 80045

Dr. Kechris' focuses on the development and application of statistical methods for analyzing -omics data sets from high throughput technologies. She has several focus areas: (1) analyzing transcription factor binding and miRNA data to study the regulation of transcription and post-transcriptional processing, (2) examining the genetic and epigenetic factors controlling gene expression, (3) exploring the metabolome and (4) integrating multiple omics data. Dr. Kechris collaborates with investigators studying chronic obstructive pulmonary disease in the COPDGene genetic epidemiology study, substance use disorders using animal models, and early life determinants of diabetes and obesity in children.

Areas of Expertise

Biostatistics
Bioinformatics
Data science
Genomics
Chronic obstructive pulmonary disease

Education, Licensure & Certifications

PhD, Statistics, University of California Berkeley, 2003
MA, Statistics, University of California Berkeley, 1999
BS, Applied Mathematics, University of California Los Angeles, 1997

Awards

Chancellor’s Teaching Recognition Award, University of Colorado Anschutz Medical Campus, 2020
Fellow, American Statistical Association, 2019
Excellence in Faculty Research Award, Colorado School of Public Health, 2017

Affiliations

Chair, Section on Statistics in Genomics and Genetics, American Statistical Association
Member, NIH Biodata Management and Analysis Study Section
Associate Editor, Biometrics

Research

NIH/NHLBI, Multi-omic Networks Associated with COPD progression in TOPMed Cohorts, 2020-2025, Role: Multi-PI (Kechris, Bowler, Lange, Banaei-Kashani)
NIH/NCI, Addressing Sparsity in Metabolomics Data Analysis, 2018-2022, Role: Multi-PI (Kechris, Ghosh)
NIH/NHLBI, Biomarker of Lung Disease in African Americans, 2018-2022, Role: Multi-PI (Bowler, Kechris)

Publications and Presentations

B. Vestal, C. Moore, E. Wynn, L. Saba, T. Fingerlin, K. Kechris (2020) MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics (1):375.
E. Mastej, L. Gillenwater, Y. Zhuang, K. Pratte, R. Bowler and K. Kechris (2020) Identifying protein-metabolite networks associated with COPD phenotypes. Metabolites 10:124.
T. Ghosh, W. Zhang, D. Ghosh and K. Kechris (2020) Predictive modeling for metabolomics Data. Methods Molecular Biology 2104:313-336.
WJ. Shi, Y. Zhuang, P. Russell, B. Hobbs, M. Parker, P. Castaldi, P. Rudra, B. Vestal, C. Hersh, L. Saba and K. Kechris (2019) Unsupervised discovery of phenotype specific multi-omics networks. Bioinformatics 35:4336-4343.
D. Reinhold, H. Pielke-Lombardo, S. Jacobson, D. Ghosh and K. Kechris (2019) Pre-analytic considerations for mass spectrometry-based untargeted metabolomics data. Methods Molecular Biology 1978:323-340.

Administrative staff

Katerina Kechris PhD

Professor, Associate Director of Data Science

Center for Innovative Design & Analysis
Department of Biostatistics & Informatics
Lifecourse Epidemiology of Adiposity & Diabetes Center

Email Address:katerina.kechris@cuanschutz.edu

Primary Phone:303-724-4363

View Website

View Research Profile

Mailing Address:

CU Anschutz

Fitzsimons Building

13001 East 17th Place

Mail Stop B119

Room 4162, 4th Floor

Aurora, CO 80045

Dr. Kechris' focuses on the development and application of statistical methods for analyzing -omics data sets from high throughput technologies. She has several focus areas: (1) analyzing transcription factor binding and miRNA data to study the regulation of transcription and post-transcriptional processing, (2) examining the genetic and epigenetic factors controlling gene expression, (3) exploring the metabolome and (4) integrating multiple omics data. Dr. Kechris collaborates with investigators studying chronic obstructive pulmonary disease in the COPDGene genetic epidemiology study, substance use disorders using animal models, and early life determinants of diabetes and obesity in children.

Areas of Expertise

Biostatistics
Bioinformatics
Data science
Genomics
Chronic obstructive pulmonary disease

Education, Licensure & Certifications

PhD, Statistics, University of California Berkeley, 2003
MA, Statistics, University of California Berkeley, 1999
BS, Applied Mathematics, University of California Los Angeles, 1997

Awards

Chancellor’s Teaching Recognition Award, University of Colorado Anschutz Medical Campus, 2020
Fellow, American Statistical Association, 2019
Excellence in Faculty Research Award, Colorado School of Public Health, 2017

Affiliations

Chair, Section on Statistics in Genomics and Genetics, American Statistical Association
Member, NIH Biodata Management and Analysis Study Section
Associate Editor, Biometrics

Research

NIH/NHLBI, Multi-omic Networks Associated with COPD progression in TOPMed Cohorts, 2020-2025, Role: Multi-PI (Kechris, Bowler, Lange, Banaei-Kashani)
NIH/NCI, Addressing Sparsity in Metabolomics Data Analysis, 2018-2022, Role: Multi-PI (Kechris, Ghosh)
NIH/NHLBI, Biomarker of Lung Disease in African Americans, 2018-2022, Role: Multi-PI (Bowler, Kechris)

Publications and Presentations

B. Vestal, C. Moore, E. Wynn, L. Saba, T. Fingerlin, K. Kechris (2020) MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics (1):375.
E. Mastej, L. Gillenwater, Y. Zhuang, K. Pratte, R. Bowler and K. Kechris (2020) Identifying protein-metabolite networks associated with COPD phenotypes. Metabolites 10:124.
T. Ghosh, W. Zhang, D. Ghosh and K. Kechris (2020) Predictive modeling for metabolomics Data. Methods Molecular Biology 2104:313-336.
WJ. Shi, Y. Zhuang, P. Russell, B. Hobbs, M. Parker, P. Castaldi, P. Rudra, B. Vestal, C. Hersh, L. Saba and K. Kechris (2019) Unsupervised discovery of phenotype specific multi-omics networks. Bioinformatics 35:4336-4343.
D. Reinhold, H. Pielke-Lombardo, S. Jacobson, D. Ghosh and K. Kechris (2019) Pre-analytic considerations for mass spectrometry-based untargeted metabolomics data. Methods Molecular Biology 1978:323-340.

Center for Innovative Design & Analysis

Colorado School of Public Health

CU Anschutz

Fitzsimons Building

13001 East 17th Place

4th Floor West

Mail Stop B119

Aurora, CO 80045

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