Welcome Haixia Shang and Yijuan Wang to HKU on the National Day

Welcome 👋 Haixia Shang (Postdoc, HKUST) and Yijuan Wang (Ph.D.,CUHK).

Lingyu Li (Invite people)
Last updated on Jan 2, 2023 1 min read
Image credit: Lingyu Li

Overview

  1. From left to right: Yijuan Wang (CUHK), Haixia Shang (Postdoc, HKUST) and me (visiting student, HKU)
  2. This visiting was invited by me. All three of us from Liu’s Lab217.
  3. We climbed the Taiping Mount together in light rain.
**Haixia Shang**, received her Bachelor's degree from Shandong University in 2016. Then, she continued to pursue a master degree in Shandong University with guide of Professor Shoushui Wei, her research focuses on developing methods for identifying feature points and classifying wave morphology of biomedical signal, especially ECG signals. In 2018, she transferred into a Phd candidate, and started to pursue a doctor degree in Shandong University with guide of Professor Zhi-ping Liu, her research focuses on developing computational methods especially network-based methods for identifying disease genes or biomarkers of complex diseases. In June 2021, she obtained her Ph.D. degree, and joined in Wang Lab, now her research focuses on developing novel bioinformatics and computational tools to track glioma evolution.
Haixia Shang, received her Bachelor’s degree from Shandong University in 2016. Then, she continued to pursue a master degree in Shandong University with guide of Professor Shoushui Wei, her research focuses on developing methods for identifying feature points and classifying wave morphology of biomedical signal, especially ECG signals. In 2018, she transferred into a Phd candidate, and started to pursue a doctor degree in Shandong University with guide of Professor Zhi-ping Liu, her research focuses on developing computational methods especially network-based methods for identifying disease genes or biomarkers of complex diseases. In June 2021, she obtained her Ph.D. degree, and joined in Wang Lab, now her research focuses on developing novel bioinformatics and computational tools to track glioma evolution.

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