Liang Kaicheng is a Principal Investigator and Senior Scientist at A*STAR’s Institute of Bioengineering and Bioimaging (IBB). He graduated with a PhD in Electrical Engineering from the Massachusetts Institute of Technology (MIT) in 2018. Funded by the National Research Foundation Fellowship (2021-2026), his lab focuses on optical techniques and imaging algorithms for obtaining real-time histological information from tissue immediately after resection during surgery, or in vivo before resection. This approach empowers clinicians with rapid feedback, potentially guiding biopsies and expediting clinical decisions.
Kaicheng’s efforts have spanned the full translational pathway, from benchtop prototypes to validation in large animals and humans. There is tremendous growth in developing specialised machine learning techniques to enhance the performance, speed and resolution of optical imaging hardware technology. The multi-megapixel/gigavoxel per sec data rates of modern imaging modalities, coupled with neural networks as powerful function approximators, motivate real-time, data-driven approaches to efficient computational imaging. These fresh research directions marrying hardware and software have bountiful potential to generate not only impactful fundamental and interdisciplinary research, but also clinical value in a broad range of specialties, where his lab’s vertical integration from bench to bedside ensures the quickest path towards clinical proof of concept translation.