Biography

The Hendricks Team is committed to increasing opportunities for all people to learn about statistics, machine learning, and science. We are motivated to ask novel research questions and ensure the research is robust and accurate. The Team works at the intersection of biomedical research and statistical/machine learning method development with current projects including the development of methods to increase the utility of publicly available genetic resources, identifying the biological mechanisms of healthy diets, elucidating the genomic underpinnings of conditions and traits, and most recently, understanding the molecular determinants influencing health and disease over the menopause transition. We follow best practices of reproducibility and robust science by creating open source, well documented software and releasing all data and code used for our studies. Our team is highly collaborative working with people from a variety of backgrounds and education levels. We are always learning, improving, and pushing ourselves and others to be our best. In doing so, we produce first-class research for the broader community and train the next generation of biomedical scientists.

Interests

  • Statistics
  • Genetics & Genomics
  • Data Science for All

Meet the Team

Principal Investigator

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Audrey E. Hendricks

Associate Professor of Statistics

Graduate Research Assistants

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Hayley Stoneman

PhD Student in Human Medical Genetics and Genomics

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Katie Marker

Co-mentor Summix Project; PhD Student in Human Medical Genetics and Genomics

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Jessica Murphy

PhD Student in Biostatistics

Fellows

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Jack Staples

Post-doctoral Fellow

Professional Research Assistants

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Adelle Price

Professional Research Assistant

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Hugo Lemus Gomez

Professional Research Assistant

Alumni

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Riley Lamont

MS in Statistics (2023)

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Souha Tifour

5yr BS Mathematics, MS Statistics Student

Nikole Scribner Trout

BS in Mathematics (2022)

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Ian Arriaga MacKenzie

BS Math / MS Stats (2021)

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Alexandria Ronco

BS-Mathematics (2020)

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Gregory Matesi

BS Math / MS Student in Statistics

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Jordan Hall

PhD-Applied Mathematics (2021)

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Megan Null

PhD in Applied Mathematics emphasis in Statistics (2020)

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Mobin Khajeh-Sharafabadi

BS in Biochemistry, Minor in Math (2021)

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Nicholas Weaver

PhD in Applied Mathematics emphasis in Statistics (2022)

Ryan Scherenberg

BS-Business (2019)

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Sakaiza Rasolofomanana Rajery

Professional Research Assistant

Sam Chen

BS Student in Mathematics

Yinfei Wu

BS-Mathematics (2019)

David Spacek

BS-Computer Science (expected 2024)

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Derek Gunnels

BS Computer Science, minor Data Science (2022)

Kaichao Chang

BS-Mathematics (2020)

Makena (Max) Avichouser

BS-Mathematics (2023)

Nicolette Vere

Professional Research Assistant

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Sage Sigler

Professional Research Assistant

Research

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Case-Control Allele Frequency Estimation (CCAFE)

Estimating Case and Control Allele Frequencies from GWAS Summary Statistics

Context Matters

Evaluating genetic risk across sex and menopause

Summix2

Characterizing substructure via mixture modeling in large-scale genetic summary statistics

Pathways in Genomic Research Experiences for Undergraduates (PATH-GREU)

PATH-GREU is a two-year program to introduce and train undergraduate students in genomics research to meet the increasing demands of genomics workforce.

Pathways in Genomic Data Science (PATH-GDS)

PATH-GDS is a two-year program to introduce and train MS Statistics and MS Applied Mathematics students in genomics research to meet the increasing demands of a computationally and data driven genomics workforce.

Foodomics

Identifying foods and food compounds in healthy diets leading to improved health outcomes

GSP

Genome Sequencing Program

MINT

Maternal and Infant Nutrition Trial (MINT)

ProxECAT

Rare variant association tests using external control data from genetic databases

Summix

Estimating ancestry proportions from genetic summary data

Contact

  • audrey.hendricks@ucdenver.edu
  • 1201 Larimer Street, Denver, CO 80204
  • Enter Student Commons Building and take the stairs or elevator to office 4217 on the fourth floor