Dr. Lawrence W.C. Chan is currently an Associate Professor in the Department of Health Technology and Informatics, Hong Kong Polytechnic University (PolyU). Dr. Chan is also a Guest Professor at the Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, where he has generated several high-quality research outputs, including in Aging Cell (2022) and Frontiers in Medicine (2020), with the Key Laboratory of Medical Molecular Imaging of Zhejiang Province.
Dr. Chan is one of the founders of the Biomedical Big Data Laboratory established at PolyU in 2017. The laboratory hosts big data analytics facilities, including high-throughput high-availability computing hardware, an AI software platform, and supporting technical team, which were jointly supported by Huawei Technologies Co., Ltd and PolyU. In 2021, Dr. Chan received funding of HKD 1,117,941 in total, with HKD 745,294 from Huawei Technologies Co. Ltd and HKD 372,647 from UGC matching, for collaborative research on “AI automatic medical image analysis and lesion detection” (PolyU Ref.: ZGBH).
Short Biography
Dr. Lawrence W.C. Chan is currently an Associate Professor in the Department of Health Technology and Informatics, Hong Kong Polytechnic University (PolyU). Dr. Chan is also a Guest Professor at the Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, where he has generated several high-quality research outputs, including in Aging Cell (2022) and Frontiers in Medicine (2020), with the Key Laboratory of Medical Molecular Imaging of Zhejiang Province.
Dr. Chan is one of the founders of the Biomedical Big Data Laboratory established at PolyU in 2017. The laboratory hosts big data analytics facilities, including high-throughput high-availability computing hardware, an AI software platform, and supporting technical team, which were jointly supported by Huawei Technologies Co., Ltd and PolyU. In 2021, Dr. Chan received funding of HKD 1,117,941 in total, with HKD 745,294 from Huawei Technologies Co. Ltd and HKD 372,647 from UGC matching, for collaborative research on “AI automatic medical image analysis and lesion detection” (PolyU Ref.: ZGBH).