معرفی
Lei Li is an incoming Assistant Professor of Electrical and Computer Engineering at Rice University, joining in January 2023 as part of the Rice Digital Health Initiative. His research focuses on developing next-generation medical imaging technologies, including photoacoustic computed tomography (PACT), to advance brain imaging, cancer diagnosis, and microrobot navigation for drug delivery. He previously completed his PhD in Electrical Engineering at Caltech (2019) and a postdoctoral fellowship in Medical Engineering at Caltech.
Dr. Li holds a Master's in Electrical and Systems Engineering from Washington University in St. Louis (2016). His work integrates light, sound, and AI to tackle challenges in biomedical imaging, such as real-time microrobot guidance and wearable devices for cancer monitoring. Key innovations include SIP-PACT for whole-body imaging, PACT-guided microrobots, and ergodicity-based high-throughput imaging systems.
His research has been recognized with prestigious awards, including the TED Fellowship (2021), MIT Technology Review Innovators Under 35 (2019), and multiple best paper awards from SPIE conferences. His contributions span biophotonics, neuroimaging, and biomedical instrumentation, with a focus on translating lab innovations into clinical applications.
Dr. Li's academic journey includes significant industry impact, such as developing PACT for early cancer detection and brain function visualization. His current role at Rice continues this trajectory, advancing digital health through interdisciplinary engineering solutions.
