Academic Qualifications
- M.S., Biomedical Engineering, Columbia University (New York, NY, USA), 2023
- B.S., Physics, University of Manchester (Manchester, UK) and Beijing Normal University (Beijing, CN), 2021
Biography
Shiqi Hu graduated from Columbia University in February 2023 with a Master's degree in Biomedical Engineering. During her MS, she joined UEIL to develop an automatic lesion size assessment method for single-transducer harmonic motion imaging using deep learning techniques. Shiqi enrolled in the Ph.D. program in the fall of 2023.
Her research focuses on focused ultrasound tumor ablation, AI-assisted medical imaging, and anti-tumor immunity, with an overarching goal of advancing noninvasive, point-of-care breast disease treatment through engineering and biological approaches.
Awards
2025 International Ultrasonics Symposium Student Travel Award, IEEE UFFC, Utrecht, Netherlands
2023 Van C. Mow Dean's Presidential Doctoral Fellowship, Columbia University, NY, USA
Publications
An Integrated Harmonic Motion Imaging-Guided Focused Ultrasound System (HMIgFUS) for Breast Cancer Ablation and Monitoring in the Clinic
A Multimodal Ultrasound-Driven Approach for Automated Tumor Assessment with B-Mode and Multi-Frequency Harmonic Motion Images
IUS 2024: Automated Tumor and FUS Lesion Quantification on Multi-Frequency Harmonic Motion and B-Mode Imaging Using a Multi-Modality Neural Network
ISBI 2023: Lesion Size Assessment on Multi-Frequency Single-Transducer Harmonic Motion Imaging Using Convolutional Neural Network
[IUS 2024] Detection of Tumor Stiffness and Vasculature Changes Using Harmonic Motion Imaging and Ultrasound Localization Microscopy Following Contrast-Enhanced-Power-Doppler-Guided Sonoporation
GRS/GRC 2024: Automated Tumor and FUS Lesion Quantification on a Multi-frequency Harmonic Motion and B-mode Imaging Using Multi-Modality Neural Networks
