About Me
Ph.D. candidate in Electrical & Computer Engineering at UIUC (graduating Dec 2025), specializing in camera systems, display hardware, optics, and ML/CV algorithms. I bring industry experience from Apple (OLED display algorithms) and Teradyne (circuit design and verification), alongside leading academic research in multispectral imaging for surgery and pathology. Passionate about bridging hardware and algorithms to drive real-world innovation in next-generation imaging and display technologies.
- Camera System
- OLED Display
- Optics
- Machine Learning/Computer Vision
Ph.D. Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
BS Electrical and Computer Engineering
Worcester Polytechnic Institute
My research centers on developing bioinspired multispectral imaging systems for cancer diagnostics and surgical guidance. Drawing inspiration from the mantis shrimp’s compound eye, I designed a camera capable of simultaneously capturing ultraviolet, visible, and near-infrared bands. This platform enables both labeled and label-free fluorescence imaging, with strong implications for advancing image-guided surgery and intraoperative pathology.
Building on this foundation, I created a lensless UV–Visible–NIR microscopy system that replaces costly optics with a holographic diffuser. This approach not only reduces hardware complexity but also achieves higher resolution and single-shot three-dimensional imaging.
To further enhance image reconstruction, I developed a 20-layer residual convolutional neural network tailored for multispectral demosaicing. Compared to conventional methods, this architecture significantly improves reconstruction fidelity, yielding higher-quality images critical for clinical translation.