Xinyue Huang
黄欣悦 • Living young and wild and free
I am a Postdoctoral Research Associate at the California Institute of Technology, working with Prof. Chiara Daraio on next-generation sensing and wearable technologies in collaboration with Meta Reality Labs.
I received my PhD in Biomedical Engineering from the Georgia Institute of Technology and Emory University, where I was advised by Prof. Stanislav Emelianov. During my PhD, I also earned an MS in Computer Science from Georgia Tech, specializing in Machine Learning, and interned with the Sensors Team at Meta Reality Labs.
My research focuses on developing ultrasound-based imaging and wearable sensing technologies, spanning ultrasound, photoacoustic, elasticity, and Doppler imaging. I believe ultrasound is a versatile sensing tool capable of revealing far more information than is conventionally recognized.
Before joining Georgia Tech and Emory, I completed my undergraduate studies in Biomedical Engineering at The Hong Kong Polytechnic University, where I was advised by Prof. Puxiang Lai. I later earned my master’s degree in Biomedical Engineering from Johns Hopkins University, where I was co-advised by Dr. Kai Ding and Dr. Muyinatu Bell.
I am originally from China, born in the south and raised in the northeast. There is far more to me than a biography can capture, getting to know me will tell you the rest!
news
| Sep 14, 2026 | I joined the California Institute of Technology as a Postdoctoral Scholar, in collaboration with Meta. |
|---|---|
| Sep 10, 2026 | Our paper “Improved Quantification of Photoacoustic Biomarkers through Residual-Based Noise Masking” is published in Photoacoustics. |
| Jul 30, 2026 | I successfully defended my PhD dissertation "Development of Ultrasound-Based Methods for Multiscale Hemodynamic Assessment". |
| Jul 27, 2026 | Our paper “Shear Wave Elasticity Imaging for Monitoring Risk of Skin Breakdown Following Subcutaneous Implantation” is published in Ultrasound in Medicine & Biology. |
| Mar 24, 2026 | Our paper “Evaluating Curvature-Induced Variation in Deep Learning-Based Beamforming for Flexible Transducers in Ultrasound-Guided Radiation Therapy” is published in Bioengineering. |
| Feb 26, 2026 | Our paper “Quantitative Photoacoustic Tomography of Skin Vasculature Predicts Subcutaneous Implant Exposure” is published in Journal of Biomedical Optics. |