Eileen Hsieh

Machine Learning Applied Scientist

Hi from Eileen! 👋
I am a applied scientist at Inventec Corporation, focusing on time series modeling and survival analysis. Specifically, I deal with physiological signal including Electrocardiogram (ECG) and Photoplethysmogram (PPG). I apply machine learning and statistical models for cardiac abnormalities detection and heart failure survival estimation.

I’m broadly interested in healthcare AI. I like to think about what clinical procedures is time-consuming, which actions follow rules/patterns yet
labor-intensive, and how to mitigate these situtions with machine learning models.

Before that, I was a AI engineer at AHEAD Medicine, working on the blood cancer risk stratification and relapse detection. I also had great fun learning neuroscience with Dr. Jeremy Lee and Dr. Chon-Wen Shyi during my M.S. at National Tsing Hua University.


News

Feb 14, 2023 [In press] 1 Journal got accepted in Nature Scientific Data (🔥 IF=12.5)
Oct 20, 2022 1 paper accepted in IEEE International Conference on e-Health and Bioengineering.
Sep 5, 2021 🎉 Best Challenge Poster in 2021 PhysioNet/CinC Challenge (paper).
Jul 29, 2020 1 journal accepted in Frontiers in Human Neuroscience. (🔥)
Jul 20, 2020 1 paper accepted for Alzheimer’s disease detection in EMBC 2020.

Selected publications

  1. A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
    Hao-Chun,Yang,  *Wan-Ting,Hsieh, and Trista Pei-Chun,Chen
    In Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15 2021
  2. EMBC
    Behavior Score-Embedded Brain Encoder Network for Improved Classification of Alzheimer Disease Using Resting State fMRI
    *Wan-Ting,Hsieh, Jeremy,Lefort-Besnard, Hao-Chun,Yang, Li-Wei,Kuo, and Chi-Chun,Lee
    In 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020 2020
  3. ICASSP
    Conditional Domain Adversarial Transfer for Robust Cross-Site ADHD Classification Using Functional MRI
    Ya-Lin,Huang,  *Wan-Ting,Hsieh, Hao-Chun,Yang, and Chi-Chun,Lee
    In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020 2020