Ruoshui Song
Pittsburgh,PA
Summary
Developed analytical and experimental research skills through collaborative work in biomedical imaging projects. Experienced in data acquisition, quantitative analysis, and communicating technical findings. Currently continuing research in vector flow ultrasound imaging, applying signal processing and machine learning methods.
Overview
3
3
years of professional experience
Work History
Research Assistant
Carnegie Mellon University/University of Pittsburgh
Kim's Lab, 200 Lothrop Street, Pittsburgh, P
09.2025 - Current
- Led an independent research project on vector flow imaging.
- Implemented an SRU microbubble tracking pipeline using precollected animal data.
- Currently developing hybrid physics-informed and AI-assisted algorithms for vector flow estimation, validated through numerical simulations.
- Assisted in ultrasound data collection and quantitative analysis.
- Conducted literature reviews to support algorithm development and experimental design.
Research Assistant
Nuclear Medicine and Imaging Research Lab, UC Davis
Roncali's Lab, Davis, CA
09.2024 - 03.2025
- Executed research and implementation of Res-UNet and GAN architectures, including DCGAN and WGAN, for advanced positron emission tomography studies.
- Transformed existing C code of GATE simulator into Python to improve functionality and maintainability.
Research Assistant
Computational Optics and Biomedical Imaging (COBI) Lab, UC Davis
Davis, CA
09.2023 - 09.2025
- - Designed a photodiode-based system for blood oxygenation measurement and signal processing
- - Collected and analyzed spectral data (100–800 nm) and selected optimal wavelengths based on Hb/HbO absorption
- - Developed MATLAB pipelines for signal processing and analog-to-digital acquisition
- - Implemented implicit neural networks in PyTorch/TensorFlow for Fourier ptychography reconstruction
Medical Imaging Assistant
Xuanwu Hospital
06.2023 - 08.2023
- - Observed multimodal imaging workflows and deep brain stimulation procedures
- - Implemented U-Net segmentation in PyTorch using CT datasets
Education
M.S. - Artificial Intelligence Engineering in Biomedical Engineering
Carnegie Mellon University
Pittsburgh, PA05.2027
B.S. - Biomedical Engineering
University of California, Davis
Davis, CA06.2025
Skills
- Programming: Python (PyTorch, PySpark, TensorFlow, NumPy, Pandas), MATLAB
- Engineering & Tools: Arduino, LabVIEW, SolidWorks
- Data & Systems: PostgreSQL, Dataproc
- Languages: English, Mandarin
Research Interests
Medical imaging, ultrasound imaging, computational imaging, physics-informed machine learning
Timeline
Research Assistant
Carnegie Mellon University/University of Pittsburgh
09.2025 - Current
Research Assistant
Nuclear Medicine and Imaging Research Lab, UC Davis
09.2024 - 03.2025
Research Assistant
Computational Optics and Biomedical Imaging (COBI) Lab, UC Davis
09.2023 - 09.2025
Medical Imaging Assistant
Xuanwu Hospital
06.2023 - 08.2023
M.S. - Artificial Intelligence Engineering in Biomedical Engineering
Carnegie Mellon University
B.S. - Biomedical Engineering
University of California, Davis