Chen-Yu started his Ph.D. in fall, 2018 at KAUST.

Combining his interests in fundamental systems and the trend of machine learning, Chen-Yu is collaborating with colleagues on developing efficient distributed machine learning systems, to be specific, trying to alleviate network bandwidth bottleneck by offloading aggregation operations to network devices (see DAIET).

During his time at Academia Sinica, Taiwan, Chen-Yu worked on techniques for digitalizing handwriting and ancient Chinese calligraphy.

Interests

  • Distributed Machine Learning Systems

Education

  • B.S. in Engineering Science and Ocean Engineering, 2016

    National Taiwan University