Shiqi Xu

I am currently an imaging algorithm scientist at Zeiss in California. My role is to design and develop scalable, deep learning-enabled algorithms for high-resolution volumetric image reconstruction.

Before joining Zeiss, I obtained my Ph.D. from Duke University under the supervision of Prof. Roarke Horstmeyer. During this time, I developed computational algorithms for novel sensor arrays to image moving objects with gigapixel resolution. I also hold an M.S. degree from Washington University, where I was supervised by Prof. Ulugbek Kamilov on compressive sensing, and Prof. Quing Zhu on medical imaging analysis for portable bedside devices.

Research Interests

• I am interested in creating computational imaging technologies to help understand and digitize the world.
• I am particularly fascinated by the microcosmos, where tiny structures invisible to the naked eye reside.

Research Expertises

• Volumetric image reconstruction
• High resolution optical and X-ray imaging system
• Computational photography
• Image processing and analysis (both AI and classic)