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
Jack Pattee PhD
Research Associate
- Center for Innovative Design & Analysis
- Department of Biostatistics & Informatics
Email Address:jack.pattee@cuanschutz.edu
Dr. Jack Pattee is a research associate in the Center for Innovative Design & Analysis. He works collaboratively with investigators in the School of Medicine and the Skaggs School of Pharmacy at the University of Colorado Anschutz Medical Campus. He pursues methodological research relating to risk prediction and integrative analysis for genetic and genomic data. Jack's other interests include machine learning, high dimensional data, and model selection. He received a BA in Mathematics from Carleton College and a PhD in Biostatistics from the University of Minnesota.
Areas of Expertise
- Statistical genetics
- Machine learning
- Integrative genomics
- Model selection
- Instrumental variables
Education, Licensure & Certifications
- PhD, Biostatistics, University of Minnesota, 2020
- BA, Mathematics, Carleton College, 2014
Masters core biostatisticians
Jack Pattee PhD
Research Associate
- Center for Innovative Design & Analysis
- Department of Biostatistics & Informatics
Email Address:jack.pattee@cuanschutz.edu
Dr. Jack Pattee is a research associate in the Center for Innovative Design & Analysis. He works collaboratively with investigators in the School of Medicine and the Skaggs School of Pharmacy at the University of Colorado Anschutz Medical Campus. He pursues methodological research relating to risk prediction and integrative analysis for genetic and genomic data. Jack's other interests include machine learning, high dimensional data, and model selection. He received a BA in Mathematics from Carleton College and a PhD in Biostatistics from the University of Minnesota.
Areas of Expertise
- Statistical genetics
- Machine learning
- Integrative genomics
- Model selection
- Instrumental variables
Education, Licensure & Certifications
- PhD, Biostatistics, University of Minnesota, 2020
- BA, Mathematics, Carleton College, 2014
PRA data manager
Jack Pattee PhD
Research Associate
- Center for Innovative Design & Analysis
- Department of Biostatistics & Informatics
Email Address:jack.pattee@cuanschutz.edu
Dr. Jack Pattee is a research associate in the Center for Innovative Design & Analysis. He works collaboratively with investigators in the School of Medicine and the Skaggs School of Pharmacy at the University of Colorado Anschutz Medical Campus. He pursues methodological research relating to risk prediction and integrative analysis for genetic and genomic data. Jack's other interests include machine learning, high dimensional data, and model selection. He received a BA in Mathematics from Carleton College and a PhD in Biostatistics from the University of Minnesota.
Areas of Expertise
- Statistical genetics
- Machine learning
- Integrative genomics
- Model selection
- Instrumental variables
Education, Licensure & Certifications
- PhD, Biostatistics, University of Minnesota, 2020
- BA, Mathematics, Carleton College, 2014
Administrative staff
Jack Pattee PhD
Research Associate
- Center for Innovative Design & Analysis
- Department of Biostatistics & Informatics
Email Address:jack.pattee@cuanschutz.edu
Dr. Jack Pattee is a research associate in the Center for Innovative Design & Analysis. He works collaboratively with investigators in the School of Medicine and the Skaggs School of Pharmacy at the University of Colorado Anschutz Medical Campus. He pursues methodological research relating to risk prediction and integrative analysis for genetic and genomic data. Jack's other interests include machine learning, high dimensional data, and model selection. He received a BA in Mathematics from Carleton College and a PhD in Biostatistics from the University of Minnesota.
Areas of Expertise
- Statistical genetics
- Machine learning
- Integrative genomics
- Model selection
- Instrumental variables
Education, Licensure & Certifications
- PhD, Biostatistics, University of Minnesota, 2020
- BA, Mathematics, Carleton College, 2014