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


Headshot of Jack Pattee

Jack Pattee PhD

Research Associate
  • Center for Innovative Design & Analysis
  • Department of Biostatistics & Informatics

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


Headshot of Jack Pattee

Jack Pattee PhD

Research Associate
  • Center for Innovative Design & Analysis
  • Department of Biostatistics & Informatics

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 managers


Headshot of Jack Pattee

Jack Pattee PhD

Research Associate
  • Center for Innovative Design & Analysis
  • Department of Biostatistics & Informatics

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


Headshot of Jack Pattee

Jack Pattee PhD

Research Associate
  • Center for Innovative Design & Analysis
  • Department of Biostatistics & Informatics

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