Daniel Chen

Expertise

Deep learning including CNN, transfer learning, data augmentation/transformations

Signal processing of time series sensors

Computer vision

Machine learning algorithms

Statistical modeling and analysis

Cloud architectures

Education

PhD, Bioengineering, University of Auckland

BE, Mechatronics, University of Auckland

Postdoctoral Fellowship at the Institute of Robotics, Shanghai Jiao Tong University working on wearable devices for human gait retraining
Published in IEEE ToH, IEEE TNSRE, Gait and Posture, and ACM CHI ‘19

Kinematic/kinetics motion analysis of human motion using IMUs and optical motion capture
Built CNN deep learning based computer vision ensemble models via transfer learning for classifying objects
Deploying data science and ML pipelines in scalable cloud architecture

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