Assistant Professor, Biomedical Engineering

Ryan earned his BS in Mechanical Engineering, graduating summa cum laude with honors, from Lafayette College in Pennsylvania, before completing his Ph.D. in Mechanical Engineering at the University of Michigan, where he also completed a post-doctoral fellowship in Kinesiology. He previously worked as a Senior Algorithms engineer at MC10 Inc., as a Lecturer in Biomedical Engineering at the University of Vermont, and as a R&D consultant for a variety of companies in the health technology, sports equipment, and sports training spaces. His research interests focus on the use of wearable and mobile technologies for improving human health and performance. Projects apply concepts from human biomechanics, dynamics, signal processing, and machine learning to enable technology-based solutions to pressing problems facing society.


1.      McGinnis, RS, McGinnis, EW, Muzik, M, Hruschak, J, Lopex-Duran, NL, Perkins, NC, Fitzgerald, K, Rosenblum, K. Movements indicate threat response phases in children at-risk for anxiety. IEEE Journal of Biomedical and Health Informatics: (2017) 21, 1460-1465.

2.      McGinnis, RS, Mahadevan, N, Moon, Y, Seagers, K, Sheth, N, DiCristofaro, S, Silva I, Jortberg, E, Wright, J, Ceruolo, M, Pindado, JA, Ghaffari, R, Patel, S.  A Machine Learning Approach for Gait Speed Estimation using Skin-mounted Wearable Sensors: From Healthy Controls to Individuals with Multiple Sclerosis. PLOS One: (2017) 12, e0178366.

3.      McGinnis, RS, Hough, J, Perkins, NC. Accuracy of wearable sensors for estimating joint reactions. ASME Journal of Computational and Nonlinear Dynamics: (2017) 12, 041010.

4.      McGinnis, RS, Cain, SM, Davidson, SP, Vitali, RV, Perkins, NC, McLean, SG. Inertial Sensor and Cluster Analysis for Discriminating Agility Run Technique and Quantifying Changes across Load.  Biomedical Signal Processing and Control: (2017) 32, 150-156.

5.      McGinnis, RS, Cain, SM, Tao, S, Whiteside, D, Goulet, GC, Gardner, EC, Bedi, A, Perkins, NC. Validation of a Novel IMU-based Three-dimensional Hip Angle Measurement in Diagnostic Tests for Femoroacetabular Impingement.  IEEE Transactions on Biomedical Engineering: (2015) 62, 1503-1513.

Areas of Expertise and/or Research

Biomechanics, Human motion tracking, analysis, and modeling


  • BS, Mechanical Engineering, Lafayette College
  • MSE, Mechanical Engineering, University of Michigan
  • PhD, Mechanical Engineering, University of Michigan


Office Location:

Votey 353

Courses Taught

  • BME 001 - Intro to Biomedical Eng Design
  • ME 012 - Dynamics
  • ME 111 - System Dynamics
  • BME 081 - Biomedical Eng Lab I
  • BME 151 - Fall BME Workshop
  • EE 100 - Electrical Engr Concepts
  • BME 296/EE 295 - Wearable Snsng in Biomechanics