Penny R. Atkins

Director, Research and ScienceScientific Computing and Imaging (SCI) Institute
Adjunct Assistant Professor, Kahlert School of Computing
One-Utah Responsible AI Initiative (One-U RAI)
University of Utah
Pronouns: she/her

Curriculum Vitae


Education and Background

  • Director, Research and Science, SCI Institute, University of Utah, 2024-Present
  • Associate Director, One Utah Data Science Hub, University of Utah, 2022-2024
  • Research Associate, Scientific Computing and Imaging Institute, University of Utah, 2020-2023
  • Postdoctoral Fellow, Institute for Bone Biomechanics, ETH Zurich, 2018-2020
  • PhD, Bioengineering, University of Utah, 2013-2018
  • Engineer, Bechtel Marine Propulsion Corporation, 2009-2013
  • BS, Industrial Engineering, Montana State University, 2005-2009

I completed my BS in Industrial Engineering at Montana State University in 2009 and helped in the design and implementation of a new process line at the Idaho National Laboratory for four years prior to starting my PhD in Bioengineering at the University of Utah. My PhD research applied a number of computational and imaging methods to improve our understanding of the initiation and progression of hip diseases affecting young, active populations.

I began my post-doctoral fellowship at ETH Zurich in Switzerland in 2018, where I quantified micro-structural fracture healing in patients using high-resolution imaging. I returned to Utah in 2020 to join the SCI Institute as a research associate where I developed advanced statistical methods for analyzing population-level biomechanics without loss of subject-specific data. In 2022, I took on a new role as the Associate Director of the One Utah Data Science Hub in an effort to catalyze research, build community, and promote data literacy. I am now the Director of Research and Science for the SCI Institute supporting the One-U Responsible AI Initiative.


Research Interests

Bridge the fields of computational and clinical biomedical research to elucidate the relationship between shape and function with respect to biomechanics at both the joint and tissue level. Using a combination of experimental and computational approaches, including medical image analysis, statistical shape modeling, and machine learning, I aim to modernize the methods used to analyze human biomechanics.

Orthopaedics, Biomechanics, Biomedical Engineering, Computational Modeling, Longitudinal Imaging, Statistical Shape Modeling, Gait Analysis, Musculoskeletal Modeling, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), High Resolution Quantitative CT (HR-pQCT), Advanced Statistics


Teaching Experience

  • University of Utah, BME 3250, Physiology for Engineers - Instructor (Fall 2022)
  • University of Utah, BME 4992, Biomedical Engineering Thesis Writing & Communication II - Instructor (Spring 2022)
  • University of Utah, BME 4991, Biomedical Engineering Thesis Writing & Communication I - Instructor (Fall 2021)
  • ETH Zurich, Orthopaedic Biomechanics - Lecturer (Spring 2019, 2020)
  • University of Utah, BME 4250, Biomechanics I - Teaching Assistant (Fall 2014)

Community Engagment & Outreach

Diversity is the foundation of innovation and critical thinking. We must promote a culture of pride, support, and celebration of our differences, whether in age, race, gender, culture, educational background, or work experience. In parallel, we must recognize that many of these aspects lead to disparities throughout our society and work to promote fair treatment and distribution of resources.

Towards helping kids find their inner love for science and engineering, I volunteer with Elementary Engineering Week, The University of Utah Science & Engineering Fair, and the Intermountain Junior Science and Humanities Symposium. During my post-doctoral fellowship, I lead a women’s peer mentoring group sponsored by Fix the Leaky Pipeline and served on the Orthopaedic Research Society (ORS) Women’s Leadership Forum (WLF) and the subcommitte for mental health in collaboration with the Diversity, Equity, and Inclusion Committee (DEIC) in 2022-2023.

Outside of my professional career, I am also involved in mentoring through Little Bellas and local mountain bike teams.


Publications

Google Scholar
NIH National Library of Medicine Bibliography
PhD Dissertation