- Programming languages: Python, R, SQL, MATLAB
- Machine Learning: Regression, Classification, Clustering, Deep Learning
- Data Analysis: Pyhon - Pandas, NumPy, SciPy, Scikit-Learn, Tensorflow, Keras | R - data.table, tidyverse, lubridate, caret
- Data Visualization: Python - matplotlib | R - ggplot
- Knowledge Base: Statistics, Rehabilitation Engineering, Neuroscience, Clinical Science, Psychology, Cell Biology
- Project 1: Detection of wheelchar user's hand movement patterns using wearable sensors and machine learning method.
- Project 2: Detection of community activity of daily livings of individuals experienced stroke using wearable sensors and machine learning method.
- Project 3: Detection of sleep stages of stroke patients in an inpatient hospital using wearable sensors and machine learning method.
- Project 1: Examine the effect of intensive wheelchair training using kinematic data collected from motion capture data.
- Project 2: Assess the importance of sleep during subacute stroke rehabilitation.
- Chen, P.-W., O’Brien, M.K., Horin, A.P., McGee Koch, L.L.; Lee, J.Y., Xu, S., Zee, P.C., Arora, V.M., Jayaraman, A. (2022). Sleep Monitoring during Acute Stroke Rehabilitation: Toward Automated Measurement Using Multimodal Wireless Sensors. Sensors, 22, 6190.
- Chen, P. W., Klaesner, J., Zwir, I., & Morgan, K. A. (2022). Detecting clinical practice guideline-recommended wheelchair propulsion patterns with wearable devices following a wheelchair propulsion intervention. Assistive Technology, 1-9.
- Chen, P. W., Baune, N. A., Zwir, I., Wang, J., Swamidass, V., & Wong, A. W. (2021). Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study. International Journal of Environmental Research and Public Health, 18(4), 1634.
- Valyear, K. F., Philip, B. A., Cirstea, C. M., Chen, P. W., Baune, N. A., Marchal, N., & Frey, S. H. (2020). Interhemispheric transfer of post-amputation cortical plasticity within the human somatosensory cortex. NeuroImage, 206, 116291.
- Chen, P-W. B., & Morgan, K. (2018). Toward community-based wheelchair evaluation with machine learning methods. Journal of Rehabilitation and Assistive Technologies Engineering, 5, 2055668318808409.
- Ph.D. in Rehabilitation and Participation Science, Washington University in St. Louis
- M.A. in Mind, Brain, and Behavior, San Francisco State University
- B.A. in Molecular and Cell Biology, University of California, Berkeley